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DBMS > EXASOL vs. Geode vs. IRONdb vs. RavenDB vs. Tkrzw

System Properties Comparison EXASOL vs. Geode vs. IRONdb vs. RavenDB vs. Tkrzw

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGeode  Xexclude from comparisonIRONdb  Xexclude from comparisonRavenDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSKey-value storeTime Series DBMSDocument storeKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.exasol.comgeode.apache.orgwww.circonus.com/solutions/time-series-database/ravendb.netdbmx.net/­tkrzw
Technical documentationwww.exasol.com/­resourcesgeode.apache.org/­docsdocs.circonus.com/irondb/category/getting-startedravendb.net/­docs
DeveloperExasolOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Circonus LLC.Hibernating RhinosMikio Hirabayashi
Initial release20002002201720102020
Current release1.1, February 2017V0.10.20, January 20185.4, July 20220.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoAGPL version 3, 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 languageJavaC and C++C#C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
macOS
Raspberry Pi
Windows
Linux
macOS
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsnono
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 indexesyesnonoyes
SQL infoSupport of SQLyesSQL-like query language (OQL)SQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (RQL)no
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes, in Luayesno
Triggersyesyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationconfigurable replication factor, datacenter awareMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodesDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenoACID, Cluster-wide transaction available
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.yesyesnoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights per client and object definablenoAuthorization levels configured per client per databaseno

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More resources
EXASOLGeodeIRONdbRavenDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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