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DBMS > CrateDB vs. FatDB vs. Geode vs. OpenTSDB

System Properties Comparison CrateDB vs. FatDB vs. Geode vs. OpenTSDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonFatDB  Xexclude from comparisonGeode  Xexclude from comparisonOpenTSDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionDistributed Database based on LuceneA .NET NoSQL DBMS that can integrate with and extend SQL Server.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesScalable Time Series DBMS based on HBase
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document store
Key-value store
Key-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Websitecratedb.comgeode.apache.orgopentsdb.net
Technical documentationcratedb.com/­docsgeode.apache.org/­docsopentsdb.net/­docs/­build/­html/­index.html
DeveloperCrateFatCloudOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.currently maintained by Yahoo and other contributors
Initial release2013201220022011
Current release5.8.1, August 20241.1, February 2017
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#JavaJava
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportWindowsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnumeric data for metrics, strings for tags
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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityno infoVia inetgration in SQL ServerSQL-like query language (OQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API
Telnet API
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#.Net
All JVM based languages
C++
Groovy
Java
Scala
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes infovia applicationsuser defined functionsno
Triggersnoyes infovia applicationsyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelselectable replication factorMulti-source replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlrights management via user accountsno infoCan implement custom security layer via applicationsAccess rights per client and object definableno

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More resources
CrateDBFatDBGeodeOpenTSDB
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