“InfluxDB 3.0 is a major milestone for InfluxData, developed with cutting-edge technologies focused on scale and performance to deliver the future of time series,” said Evan Kaplan, CEO at InfluxData. “Built on Apache Arrow, the most important ecosystem in data management, InfluxDB 3.0 delivers on our vision to analyze metric, event, and trace data in a single datastore with unlimited cardinality. InfluxDB 3.0 stands as a massive leap forward for both time series and real-time analytics, providing unparalleled speed and infinite scalability to large data sets for the first time.”

The solution was originally developed as the open-source project InfluxDB IOx and was built in Rust. It was then rebuilt as a columnar database that leverages the scale and performance of the Apache Arrow data structure to deliver real-time query responses. 

Users can also benefit from unlimited cardinality and high throughput to continuously ingest, transform, and analyze billions of time series data points, low-cost object store, and SQL language support. 

The new version is available now in InfluxData’s cloud products, including the fully managed service InfluxDB Cloud Dedicated. InfluxData also announced InfluxDB 3.0 Clustered and InfluxDB 3.0 Edge to give developers next-gen time series capabilities in a self-managed database and InfluxDB 3.0 will be available in these products later in the year.

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With NIST compliance, Puppet Enterprise 2023.0 reduces compliance risk and the risk of sensitive information being accessed. Users can customize the timeout to specify a default value and issue a confirmation message. A prioritized list of LDAP servers also bolsters security. 

The new user interface includes a new job and task queue status, task concurrency fine-tuning, default job timeouts, and the ability to stop stalled jobs. These new features will increase observability, throughput, fault tolerance, and operational efficiency, according to Puppet

Scalability has also been improved with updates to reporting, database performance, and agent certificate regeneration as well as new orchestrator task concurrency defaults. 

Puppet Enterprise 2023.0 updates the Java 17 component and removes CentOS 8 as a primary server platform. The new version also removes other agent platforms and patch management platforms. Additional details are available here. 

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Apache Cassandra is a distributed NoSQL database, and is an open-source project under the Apache Software Foundation. 

The 4.1 release is the first version that follows the new yearly release cycle that was implemented last year. The release will be supported for three years. 

RELATED CONTENT: Apache Cassandra indexing without having to say ‘I’m sorry’

Ecosystem improvements in Apache Cassandra 4.1 include a new Memtable API that provides pluggable persistent memory, improved Lightweight Transaction performance via Paxos v2, pluggable external schema manager services, and pluggable SSLContext creation. 

According to a blog post, the Paxos optimizations improve latency and halve the number of round trips needed to achieve consensus. It also guarantees linearizability across range movements that are similar to what would be expected from a database with strong consistency. 

“Apache Cassandra is open source technology at its best. It exceeds our database performance goals and is a critical database we are using for providing a seamless streaming experience to our customers worldwide,” said Vinay Chella, Senior Engineering Leader at Netflix. “Apache Cassandra is constantly improving. The optimization of the Paxos consensus protocol implementation means a 50% performance improvement for Lightweight Transactions (LWTs), which is what you would expect from a database with a reputation for performance.”

Updates pertinent to Cassandra Query Language (CQL) developer include the ability to group by time range, the ability to use CONTAINS and CONTAINS KEY conditions in conditional updates, and the ability to use IF EXISTS and IF NOT EXISTS in ALTER statements. 

Cassandra operators can look forward to updates like configurable system level guardrails, partition denylisting tool, improved syntax to cassandra.yaml, new systems tables, the ability to monitor top partitions by size, and improvements to nodetool, backup and restore. 

Security updates include credentials file support to CSQLSH, the ability to grant permission for all tables in a keyspace, support for pre-hashed passwords in CQL, and support for PEM based key material for SSL.   

“With an incredibly stable core that was delivered in 4.0, the project is now building on that milestone toward a more cloud native future,” said Mick Semb Wever, Apache Cassandra PMC member. “The latest release emphasizes externalizing important key functions into a pluggable interface, allowing developers to extend Cassandra without altering the stable core code. Organizations using Cassandra can be more selective how each combination of features is deployed and can add a layer of flexibility to future use cases that may not exist today. This includes storage engine choice, security components, schema and user management. Users of Cassandra will see the decoupled innovation in the ecosystem in the future without the need for a major release of the project.”

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YugabyteDB 2.17 was released with new APIs for xCluster, which will help support planned and unplanned failovers to help companies meet business continuity goals.

The database now offers a new backup architecture that provides up to 5x improvement in backup and restore times compared to previous releases. Each node now sends data directly to a backup target in parallel, which eliminates bottlenecks and enables greater scalability. 

Now available in version 2.17, YugabyteDB Anywhere provides advanced data protection capabilities, such as xCluster replication deployment and management. Data can be recovered in a matter of microseconds in just a few clicks. 

Productivity enhancements include streamlined security through greater choice of key management systems providers, enhanced observability to reduce maintenance costs, the ability to automate maintenance tasks, and a new Node.js Smart Driver for YSQL.  

“Organizations looking to modernize new and existing core transactional applications need to move away from costly monolithic databases, but barriers to enterprise-readiness like data protection, security, and usability can block the way,” said Karthik Ranganathan, co-founder and CTO of Yugabyte. “YugabyteDB 2.17 removes key obstacles to database modernization. It empowers organizations with a host of new benefits unmatched in both legacy and many modern databases, putting developer productivity at the core.”

The company also updated YugabyteDB Managed, which provides management of database infrastructure for distributed applications. It now offers self-service geo-partitioning, low latency access through read replicas, a new Terraform provider, and a new free trial of production clusters. 

Together, YugabyteDB 2.17 and YugabyteDB Managed enabled companies to be more confident in their data protection, expedite cloud initiatives while keeping cost of ownership low, and accelerate productivity, Yugabyte explained.

The company also announced the YugabyteDB Managed Quantum Leap program, which offers startups a $10,000 YugabyteDB Managed credit.

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The project is maintained by Speedb and forked from Rocksdb, developed by Facebook. 

The project uses Sorted Hash Memtable, a data structure in SpeedDB that is used to store data in memory. It is designed to be fast and efficient, and it is used to improve the performance of the database. 

Meanwhile, the Paired Bloom Filter in Speedb consumes less memory than FastLocalBloomFilterPolicy, RockDB’s default cache-local bloom filter, without increasing the rate of false positives.

“Speedb’s goal was to ensure fast and low consumption but without sacrificing accuracy, offering a better trade-off in terms of memory footprint vs. the rate of false positives,” the developers behind Speedb wrote on the project’s website. 

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This extends the functionality of Google’s AppSheet by allowing users to create and manage databases within the AppSheet platform, enabling them to keep track of their data and making it possible to share their data in a variety of ways.

Users can get started by creating a blank database from the My Apps page. The database then provides a complete toolset for relational data design and management directly in AppSheet. Lastly, once a database is created, an app can be generated from that database. 

AppSheet databases include performance improvements, a simple-to-use AppSheet database editor, and seamless integration with the AppSheet app editor. 

During public preview, access to AppSheet will be enabled by default but it will not affect existing apps. 

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Businesses are under increasing pressure to get more value from their data while simultaneously driving down costs. In addition, database administrators (DBAs) are trying to ensure database operations run smoothly while improving data resiliency through high availability (HA) and disaster recovery (DR) efforts.

Businesses looking to replace mission-critical Oracle databases typically opt for PostgreSQL, due to the similarities and compatibility features provided by PostgreSQL. While the databases provide similar functionality, there are still significant challenges for the most business-critical applications, namely maintaining interoperability between related systems and building highly available, distributed PostgreSQL clusters.

To meet those needs, Quest has introduced SharePlex for PostgreSQL, which allows users to:

• Bi-directionally replicate from PostgreSQL to PostgreSQL

• Automatically fix out-of-sync conditions with conflict resolution

• Replicate from PostgreSQL to Oracle

• Publish PostgreSQL changes to Kafka for real-time analytics and integrations

“As enterprise companies look to move their critical Oracle workloads to PostgreSQL, they need trusted vendors to help fill the missing functionality gaps. Quest is committed to supporting customers’ evolving needs by adding new platforms,” said Bharath Vasudevan, Vice President Product Management and Marketing for Quest ISM. “With the release of SharePlex for PostgreSQL, we are empowering organizations to cost-effectively improve their data operations.”

“Enterprises have depended on SharePlex for Oracle for two decades to support HA, DR, scaling and integration use cases. SharePlex support of the same capabilities for PostgreSQL will enable the types of flexible database architectures required to replace mission-critical Oracle workloads with PostgreSQL,” said Rick Schiller, Senior Product Manager for SharePlex.

For more information on SharePlex for PostgreSQL, please visit: https://www.quest.com/register/138534/

About Quest Software 

Quest creates software solutions that make the benefits of new technology real in an increasingly complex IT landscape. Quest helps customers solve their next IT challenge, from maximizing the value of their data, to Active Directory and Office 365 management, and cybersecurity resilience. Around the globe, more than 130,000 companies and 95% of the Fortune 500 count on Quest to become data empowered, deliver proactive management and monitoring for the next enterprise initiative, find the next solution for complex Microsoft challenges, and stay ahead of the next threat. Quest Software. Where next meets now. For more information, visit www.quest.com.

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“We envision a world where your data-intensive applications effortlessly and securely serve millions of customers anywhere on the planet, with the exact right capacity for that moment – all enabled by a simple SQL API in the cloud,” said Nate Stewart, chief product officer at Cockroach Labs. “We’re a step closer to that vision now that CockroachDB Serverless is generally available. We’ve also released a new migration toolset and formed critical partnerships to help customers with existing applications take full advantage of CockroachDB.”

Users of the serverless database can save time by automating management and maintenance. It also offers scalability and high availability, and can automatically handle spikes in demand without bottlenecks.

Other capabilities include instant start, a CLI, PostgreSQL ORMs and drivers, and no-downtime schema changes.

The new serverless database includes a free tier of up to 5GB of storage and 250M RUs per month. 

The company also released its migration tool, CockroachDB Molt and integrations with Vercel, HashiCorp Vault, and Hashicorp Terraform. 

Additional details on the new releases are available here.

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Imply was founded by the original creators of the real-time database Apache Druid. One achievement included in this milestone is the development of a multi-stage query engine for Apache Druid. According to the company, this is the largest expansion of the architecture since it was created.

Benefits of this query engine include accelerated batch ingestion, SQL-based-in-database transformation, and a foundation for expanded ecosystem support. 

“We always thought of Druid as a shapeshifter when we originally built it to support analytics apps of any scale,” said Gian Merlino, CTO and co-founder of Imply and PMC chair for Apache Druid. “Now we’re excited to show the world just how nimble it can be with the addition of multi-stage queries and SQL-based ingestion.”

Another update is Total Value Guarantee, which guarantees that the total cost of ownership for a company to run Druid through Imply will be less than the cost of running it on their own. 

The company also highlighted continued momentum for Imply Polaris, which is a database-as-a-service that was introduced in March. Since launch, Polaris has added over 250 accounts from a variety of industries.

Imply is also announcing new features for Polaris, including more flexible data ingestion, performance monitoring alerts, updates to built-in visualizations, and more flexible pricing.  

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With Appsmith, software engineers can build internal and CRUD (create, read, update and delete) type applications quickly. 

Software engineers can build user interfaces with pre-built components and code business logic by connecting APIs along with any database. They can then test and deploy a web application where users are authenticated using a dashboard. 

Appsmith was founded in 2019 to enable backend engineers to build apps quickly with a low-code approach and has risen to more than 10 million downloads, more than 18,000 stars on GitHub, and is used at 10,000 organizations.

The open-source project has recently gained over 150 enhancements including the addition of JS Editor, version control, and over 30 new widgets and variations. 

“This funding round was done to support the demand that we’re seeing for our open source platform to build internal apps that are mission critical and not customer-facing so they often get deprioritized,” said Abhishek Nayak, co-founder and CEO of Appsmith. “As a result, companies of all sizes from many different industries rely on Appsmith as an easy way to build custom apps to solve this problem.”

Additional details about the project are available here.

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