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DBMS > Speedb vs. Splice Machine

System Properties Comparison Speedb vs. Splice Machine

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Editorial information provided by DB-Engines
NameSpeedb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#338  Overall
#48  Key-value stores
Score0.54
Rank#238  Overall
#112  Relational DBMS
Websitewww.speedb.iosplicemachine.com
Technical documentationsplicemachine.com/­how-it-works
DeveloperSpeedbSplice Machine
Initial release20202014
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0; commercial license availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesnoyes
SQL infoSupport of SQLnoyes
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
SpeedbSplice Machine
Recent citations in the news

Redis expands data management capabilities with Speedb acquisition
22 March 2024, Blocks and Files

Data unicorn Redis acquires Israeli startup Speedb to boost platform with data storage engine
21 March 2024, CTech

Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

Intel Xeon 6780E / Xeon 6766E 144-Core Performance Benchmarks
3 June 2024, Phoronix

Speedb Goes Open Source With Its Speedb Data Engine, A Drop-in Replacement for RocksDB
9 November 2022, Business Wire

provided by Google News

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine SQL Database Scales On Hadoop
22 September 2023, InformationWeek

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PR Newswire

Monte Zweben's Splice Machine Introduces New Hadoop RDBMS
24 June 2014, Forbes

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23 August 2019, Towards Data Science

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