Oracle NoSQL Database 2.0.39 released

Oracle NoSQL Database 2.0.39 has been released and introduce several improvements, a couple of new Oracle product integration points as well as a number of important bug fixes. These new features and fixes include:

– An integration with Oracle Coherence has been provided that allows Oracle NoSQL Database to be used as a cache for Oracle Coherence applications, also allowing applications to directly access cached data from Oracle NoSQL Database. Documentation can be foundhttp://bit.ly/14e6jEP.

– Oracle NoSQL Database Enterprise Edition now has support for semantic technologies. Specifically, the Resource Description Framework (RDF), SPARQL query language, and a subset of the Web Ontology Language (OWL) are now supported. These capabilities are referred to as the RDF Graph feature of Oracle NoSQL Database. The RDF Graph feature provides a Java-based interface to store and query semantic data in Oracle NoSQL Database Enterprise Edition. Documentation can be found http://bit.ly/Y7aQX4.

Find the complete list of changes in the change log.

Changelog: http://bit.ly/ZweZDS
Download: http://bit.ly/yLGVg3

VoltDB v3.2 has been released

VoltDB v3.2 has been  released and can be downloaded here: http://voltdb.com/community/downloads.php

Changes include:

  • Enhanced Support for Live Schema Updates
  • Improved Performance and Resilience of Catalog Updates
  • New Return Status for Snapshot Restore
  • hange to the Default Heartbeat Timeout

 

The following issues have been fixed:

  • Automated snapshots and node failure

    It was possible for automated snapshots to silently stop occurring after a node failed and rejoined the cluster. This did not happen all the time, but could not be corrected without restarting the cluster. This issue has been corrected.

  • The sqlcmd command and stored procedure names

    Previously, the sqlcmd command line tool could not invoke a stored procedure if the procedure name started with a SQL statement keyword, such as “select” or “delete”. This issue has been corrected.

  • Enterprise Manager fails to recognize cluster changes

    In recent versions of VoltDB, it was possible for the Enterprise Manager to start a database cluster but not recognize when the database completed startup. Similarly, if a node failed to rejoin or a recover operation did not complete the Enterprise Manager might not recognize these conditions. The symptom in all cases was that the database or server icon would not stop “spinning” in the Enterprise Manager control panel. These issues are now fixed.

MemSQL ships 2.0. Scales in-memory database across hundreds of nodes, thousands of cores

MemSQL runs on 64-bit Linux. Ideally suited for machines with multi-core processors and at least 8 GB of RAM Download MemSQL

MemSQL goal was to deliver the fastest OLTP database ever. Inspired by the scale and architectures we saw at Facebook, we hoped to help every enterprise leverage in-memory technologies similar to those that leading web companies use.

Customers like Zyngaand Morgan Stanley not only wanted to quickly commit transactions to the database, they also wanted instant answers to questions about how their real-time data compared to historical data. This inspired the MemSQL team to build something new – a solution that supports highly concurrent transactional and analytical workloads at Big Data scale.

Today MemSQL’s real-time analytics platform is available for download. This is the first generally available version of MemSQL that scales horizontally on commodity hardware. It provides the blazing fast performance for which MemSQL is known, and now does it at Big Data scale. Customers have deployed MemSQL across hundreds of nodes and dozens of terabytes of data, and we’ve tested at even greater volumes and velocities. (Check out ourcalculator to get an idea of the number of reads and writes you can perform depending on the size of your cluster.)

This is also the first version to include MemSQL Watch, a visual web-based interface for monitoring and managing your cluster. We expect this to be the beginning of our foray into real-time visualizations as many of our customers look to operationalize their analytics.

Deploying a database can be difficult, so we’ve made it as simple as possible.  for free on our site and take it for a spin. You’ll definitely be impressed by the performance, but you’ll also be impressed by what’s missing:

  • Batched loading – Don’t wait until the middle of the night to refresh your reports.
  • Complicated programming languages (and a limited talent pool) – Use SQL for real-time analytics.
  • An expensive, proprietary box (and a plan to rip and replace it in a few years) – Scale incrementally on commodity hardware.
  • A lengthy implementation cycle – Launch your first MemSQL instance in minutes in the cloud.

TokuDB open sourced and v7 released

http://www.tokutek.com/2013/04/announcing-tokudb-v7-open-source-and-more/

TokuDB Version 7, for MySQL and MariaDB is going open source.

The free Community Edition is fully functional and fully performant. It has all the compression you’ve come to expect from TokuDB. It has hot schema changes: no-down-time column insertion, deletion, renaming, etc., as well as index creation. It has clustering secondary keys. We are also announcing an Enterprise Edition (coming soon) with additional benefits, such as a support package and advanced backup and recovery tools.

Making TokuDB open source is a natural next step for Tokutek’s involvement in the MySQL community. So far, Tokutek has been involved in the community in many ways:

TokuDB v7 maintains all our established advantages: fast trickle load, fast bulk load, fast range queries through clustering indexes, no fragmentation, and full MySQL/MariaDB compatibility for ease of installation.

In addition, there are plenty of other performance improvements included in this version. For starters, TokuDB v7 adds support for Direct I/O. Also, you asked for it, you got it: TokuDB v7 has significantly enhanced Engine Status information.

For details on updates to pricing and supported MySQL and MariaDB versions, please see our FAQ.

To learn more about TokuDB:

  • Download executables here.
  • The source code is available on GitHub.

Neo4J introducing labels in 2.0

A big new feature in Neo4j 2.0 are node labels and real, automatic indexes. Here you can quickly get an update on this extension of the property graph model.

You can watch the presentation here.

With the new node-label feature you can assign any number of types from your domain to a node. Imagine labels like Person, Location, Product, Project, User etc. Adding, querying and removing labels is supported in all Neo4j-APIs: Cypher, Java-API and REST-API (Batch-Inserter is in the works).

Starting with Neo4j 2.0 a last missing piece to Cypher functionality was added too. The new labels allow to provide label-based indexes which are handled automatically by the database. That means after an index is created all existing nodes with the label and properties are added to it behind the scenes and after the completion of that task the index will be updated transactionally.

These indexes are used by Cypher to perform index based lookups based on the label and properties that are part of the index. That either happens automatically for simple expressions or with an explicit index hint.

 

Neo4j Preview 2.0.0-M01 is available for download

IBM's BLU Acceleration aims to change Big Data

“In contrast to some competitors, the company believes Big Data isn’t some new issue requiring emerging or arcane technologies,” said analyst Charles King on IBM’s BLU Acceleration technologies. “Instead, IBM views Big Data as a fundamental challenge that stretches across the IT landscape, tangibly affecting the technology market as a whole.”

Three new products have just been rolled out by IBM, including technologies that promise 25 times faster reporting and analytics.

  1. A new acceleration technology “BLU Acceleration” targeting DB2 solutions.
  2. A new IBM PureData System for Hadoop. Hadoop is the game-changing open-source solution for big data.
  3. A new version of InfoSphere BigInsights, IBM’s enterprise-ready Hadoop offering, which makes it simpler to develop applications using existing SQL skills.

 

About “BLU Acceleration”:

  1. Extending In-Memory solution IBM said BLU Acceleration makes it possible for users to access key information more quickly, which, in turn, leads to better decision-making. That extension allows data to be loaded into RAM instead of hard disks for faster performance by providing in-memory performance even when data sets exceed the size of the memory.
  2. BLU Acceleration include “data skipping.” Data skipping allows the ability to skip over data that doesn’t need to be analyzed, such as duplicate information. Other innovations include the ability to analyze data in parallel across different processors and greater ability to analyze data transparently to the application, without the need to develop a separate layer of data modeling.
  3. Another industry-first advance in BLU Acceleration is called “actionable compression,” where data no longer has to be decompressed to be analyzed. During testing, some queries in a typical analytics workload were more than 1,000 times faster when using the combined innovations of BLU Acceleration.

 

 

Riak CS Open Sourced

Basho announced today that Riak CS is now open source under the Apache 2 license. Organizations and users can now access the source code on Github and download the latest packages from the downloads page.

Riak CS can be used to build private or public clouds or as reliable, available storage behind applications and platforms. Riak CS Enterprise is currently used by large corporations including Datapipe, Deutsche Vermögensberatung (DVAG), IDC Frontier, Rovio, and Yahoo! JAPAN.

Basho is a distributed systems company dedicated to making software that is available, fault-tolerant, and easy to operate at scale. Twenty-five percent of the Fortune 50 and thousands of open source users large and small run our flagship open source database, Riak. Riak CS takes distributed systems principles derived from production Riak users and applies it to the problem of large scale storage. We are excited to share this code with the world.

Riak CS features:

  • Highly available, fault-tolerant storage
  • Large object support
  • S3-compatible API and authentication
  • Multi-tenancy and per-user reporting
  • Simple operational model for adding capacity
  • Robust stats for monitoring and metrics

For users requiring multi-datacenter replication and enterprise-level support, Riak CS Enterprise (a commercial extension of Riak CS) is available.

New Features

Today we are also announcing several new features, available now as part of the open source edition.

  • Multipart upload. Upload very large files to Riak CS as a series of parts. Parts can be between 5MB and 5GB.
  • Support for GET range queries. Retrieve a range of bytes from a single object. This functionality is implemented in the “Range” request header of GET operations.
  • Per-bucket policies to restrict access to buckets based on source IP.
  • Riak CS Control. Riak CS Control is a standalone web administration tool for user management available on Github.

MongoDB 2.4 has been released

MongoDB 2.4 has been released and includes new features and enhancements as follow:

  • Hash-Based Sharding
  • Capped Arrays
  • Text Search (Beta)
  • Geospatial Enhancements
  • Faster Counts
  • Aggregation Framework Improvements
  • Role-Based Privileges
  • Working Set Analyzer
  • Improved Replication

 

Release notes

Downloads

MongoDB 2.4.0-rc3 has been released

MongoDB 2.4.0-rc3 has been released, the 2.4 branch includes:

Downloads: http://www.mongodb.org/downloads

Change Log: https://jira.mongodb.org/browse/SERVER/fixforversion/12393

Couchbase Server 2.0.1 has been released

Couchbase Server 2.0.1 has been released, introducing the following changes:

  • Improved rebalance operation time for key-value use cases.
  • Performance optimizations to cap view / index file size growth during rebalance.
  • New low and high watermark thresholds to increase usable memory.
  • Stability fixes to drastically improve timeout problems seen by the cluster manager due to Erlang VM settings.
  • Significant performance improvements to view / index building particularly useful during initial load.

You can download and check-out the latest version on our download page. If you are currently running Couchbase Server 2.0 EE, we recommend that you upgrade to version 2.0.1 EE. We are working on the community edition and will update our download page once available.

Try out 2.0.1 and give us your feedback!

 

http://blog.couchbase.com/couchbase-server-201-enterprise-edition-now-available