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DBMS > PouchDB vs. RocksDB vs. Splice Machine

System Properties Comparison PouchDB vs. RocksDB vs. Splice Machine

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Editorial information provided by DB-Engines
NamePouchDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS with an API inspired by CouchDBEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.50
Rank#100  Overall
#18  Document stores
Score3.09
Rank#90  Overall
#14  Key-value stores
Score0.68
Rank#207  Overall
#103  Relational DBMS
Websitepouchdb.comrocksdb.orgsplicemachine.com
Technical documentationpouchdb.com/­guidesgithub.com/­facebook/­rocksdb/­wikidoc.splicemachine.com
DeveloperApache Software FoundationFacebook, Inc.Splice Machine
Initial release201220132014
Current release7.1.1, June 20196.15.5 , February 20213.1, March 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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.nono
Secondary indexesyes infovia viewsnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHTTP REST infoonly for PouchDB Server
JavaScript API
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptC++
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptnoyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
PouchDBRocksDBSplice Machine
Specific characteristicsTHE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesOperational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosNew AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Licensing and pricing modelsKubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
PouchDBRocksDBSplice Machine
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Recent citations in the news

Getting Started with PouchDB Client-Side JavaScript Database
7 September 2016, SitePoint

Synchronizing Offline App Data with PouchDB
25 September 2015, SitePoint

Create Offline Web Apps Using Service Workers & PouchDB
7 March 2017, SitePoint

Cross Platform Storage and Sync with Ionic Framework, Couchbase, and PouchDB
13 November 2015, DZone News

Create an AngularJS Web Application That Sync's With Couchbase Using PouchDB
29 January 2016, DZone News

provided by Google News

Toshiba Memory America Optimizes RocksDB for SSDs
1 August 2019, Business Wire

Toshiba Memory America Highlights TRocksDB at SNIA's 2019 Storage Developer Conference
23 September 2019, Business Wire

MariaDB Adding Support for Facebook MyRocks
9 December 2016, DZone News

Facebook Open Sources MyRocks DB Engine And ZStandard Compression Algorithm
3 September 2016, Fossbytes

All 51 startups that debuted at Y Combinator W17 Demo Day 2
22 March 2017, TechCrunch

provided by Google News

How Splice Machine's Data Platform for Intelligent Apps Works | eWEEK
29 September 2020, eWeek

Splice Machine Announces New Capabilities to Support Real-Time AI with Version 3.1 of its Scale-Out SQL Database
9 March 2021, PRNewswire

Splice Machine Leans on Kubernetes to Manage DBs
3 August 2020, Container Journal

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

New Aerospike release brings Spark 3.0 compatibility
5 May 2021, ZDNet

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