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DBMS > Firebase Realtime Database vs. Ignite vs. Kinetica vs. SiteWhere vs. Warp 10

System Properties Comparison Firebase Realtime Database vs. Ignite vs. Kinetica vs. SiteWhere vs. Warp 10

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIgnite  Xexclude from comparisonKinetica  Xexclude from comparisonSiteWhere  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully vectorized database across both GPUs and CPUsM2M integration platform for persisting/querying time series dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databaseignite.apache.orgwww.kinetica.comgithub.com/­sitewhere/­sitewherewww.warp10.io
Technical documentationfirebase.google.com/­docs/­databaseapacheignite.readme.io/­docsdocs.kinetica.comsitewhere1.sitewhere.io/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperGoogle infoacquired by Google 2014Apache Software FoundationKineticaSiteWhereSenX
Initial release20122015201220102015
Current releaseApache Ignite 2.67.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC, C++JavaJava
Server operating systemshostedLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyespredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsnono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
HTTP RESTHTTP API
Jupyter
WebSocket
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)user defined functionsyes infoWarpScript
TriggersCallbacks are triggered when data changesyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBaseSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationselectable replication factor infobased on HBaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlyes, based on authentication and database rulesSecurity Hooks for custom implementationsAccess rights for users and roles on table levelUsers with fine-grained authorization conceptMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Firebase Realtime DatabaseIgniteKineticaSiteWhereWarp 10
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