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DBMS > EXASOL vs. Firebase Realtime Database vs. IRONdb vs. SiteWhere vs. Splice Machine

System Properties Comparison EXASOL vs. Firebase Realtime Database vs. IRONdb vs. SiteWhere vs. Splice Machine

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIRONdb  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityM2M integration platform for persisting/querying time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument storeTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.exasol.comfirebase.google.com/­products/­realtime-databasewww.circonus.com/solutions/time-series-database/github.com/­sitewhere/­sitewheresplicemachine.com
Technical documentationwww.exasol.com/­resourcesfirebase.google.com/­docs/­databasedocs.circonus.com/irondb/category/getting-startedsitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-works
DeveloperExasolGoogle infoacquired by Google 2014Circonus LLC.SiteWhereSplice Machine
Initial release20002012201720102014
Current releaseV0.10.20, January 20183.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaJava
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Android
iOS
JavaScript API
RESTful HTTP API
HTTP APIHTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Lua
Python
R
Java
JavaScript
Objective-C
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'yes, in Luayes infoJava
TriggersyesCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.yesnonoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyes, based on authentication and database rulesnoUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
EXASOLFirebase Realtime DatabaseIRONdbSiteWhereSplice Machine
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