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

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

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonJSqlDb  Xexclude from comparisonPouchDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTigris  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.JSqlDB 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 Query Language Database, stores JavaScript objects and primitivesJavaScript DBMS with an API inspired by CouchDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA 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 store
Object oriented DBMS
Document storeRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.18
Rank#114  Overall
#21  Document stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.05
Rank#359  Overall
#50  Document stores
#52  Key-value stores
#23  Search engines
#37  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/jsqldb.org (offline)pouchdb.comsplicemachine.comwww.tigrisdata.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedpouchdb.com/­guidessplicemachine.com/­how-it-workswww.tigrisdata.com/­docs
DeveloperCirconus LLC.Konrad von BackstromApache Software FoundationSplice MachineTigris Data, Inc.
Initial release20172018201220142022
Current releaseV0.10.20, January 20180.8, December 20187.1.1, June 20193.1, March 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen SourceOpen Source infoAGPL 3.0, 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++JavaScriptJava
Server operating systemsLinuxLinux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnonoyesyes
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.nononono
Secondary indexesnonoyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonoyesno
APIs and other access methodsHTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
Native Spark Datasource
ODBC
CLI 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
JavaScriptJavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes, in Luafunctions in JavaScriptView functions in JavaScriptyes infoJavano
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneSharding infowith a proxy-based framework, named couchdb-loungeShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infousing RocksDByes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes, 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-standardAccess rights for users and roles

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More resources
IRONdbJSqlDbPouchDBSplice MachineTigris
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