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DBMS > IRONdb vs. PouchDB vs. Splice Machine vs. STSdb vs. Tigris

System Properties Comparison IRONdb vs. PouchDB vs. Splice Machine vs. STSdb vs. Tigris

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonPouchDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTigris  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityJavaScript DBMS with an API inspired by CouchDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelTime Series DBMSDocument storeRelational DBMSKey-value storeDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.34
Rank#112  Overall
#21  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/pouchdb.comsplicemachine.comgithub.com/­STSSoft/­STSdb4www.tigrisdata.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedpouchdb.com/­guidessplicemachine.com/­how-it-workswww.tigrisdata.com/­docs
DeveloperCirconus LLC.Apache Software FoundationSplice MachineSTS Soft SCTigris Data, Inc.
Initial release20172012201420112022
Current releaseV0.10.20, January 20187.1.1, June 20193.1, March 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScriptJavaC#
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
WindowsLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnoyesyes infoprimitive types and user defined types (classes)yes
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.nonono
Secondary indexesnoyes infovia viewsyesnoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noyesnono
APIs and other access methodsHTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
Native Spark Datasource
ODBC
.NET Client APICLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes, in LuaView functions in JavaScriptyes infoJavanono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infowith a proxy-based framework, named couchdb-loungeShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standardnoAccess rights for users and roles

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More resources
IRONdbPouchDBSplice MachineSTSdbTigris
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