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DBMS > Apache IoTDB vs. EXASOL vs. Geode vs. SiriDB vs. Sphinx

System Properties Comparison Apache IoTDB vs. EXASOL vs. Geode vs. SiriDB vs. Sphinx

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEXASOL  Xexclude from comparisonGeode  Xexclude from comparisonSiriDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSRelational DBMSKey-value storeTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteiotdb.apache.orgwww.exasol.comgeode.apache.orgsiridb.comsphinxsearch.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.exasol.com/­resourcesgeode.apache.org/­docsdocs.siridb.comsphinxsearch.com/­docs
DeveloperApache Software FoundationExasolOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.CesbitSphinx Technologies Inc.
Initial release20182000200220172001
Current release1.1.0, April 20231.1, February 20173.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric datano
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 indexesyesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language (OQL)noSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
Native API
.Net
JDBC
ODBC
WebSocket
Java Client API
Memcached protocol
RESTful HTTP API
HTTP APIProprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
Lua
Python
R
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsnono
Triggersyesyesyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardAccess rights per client and object definablesimple rights management via user accountsno

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Apache IoTDBEXASOLGeodeSiriDBSphinx
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