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DBMS > CockroachDB vs. FatDB vs. Geode vs. GigaSpaces vs. OpenTSDB

System Properties Comparison CockroachDB vs. FatDB vs. Geode vs. GigaSpaces vs. OpenTSDB

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonFatDB  Xexclude from comparisonGeode  Xexclude from comparisonGigaSpaces  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.
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A .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 processesHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitewww.cockroachlabs.comgeode.apache.orgwww.gigaspaces.comopentsdb.net
Technical documentationwww.cockroachlabs.com/­docsgeode.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.htmlopentsdb.net/­docs/­build/­html/­index.html
DeveloperCockroach LabsFatCloudOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Gigaspaces Technologiescurrently maintained by Yahoo and other contributors
Initial release20152012200220002011
Current release23.1.1, May 20231.1, February 201715.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#JavaJava, C++, .NetJava
Server operating systemsLinux
macOS
Windows
WindowsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Solaris
Windows
Linux
Windows
Data schemedynamic schemaschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesnumeric 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 infoXML can be used for describing objects metadatano
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLno infoVia inetgration in SQL ServerSQL-like query language (OQL)SQL-99 for query and DML statementsno
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java Client API
Memcached protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP API
Telnet API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C++
Java
Python
Scala
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infovia applicationsuser defined functionsyesno
Triggersnoyes infovia applicationsyes infoCache Event Listenersyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factorMulti-source replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeACIDno
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.noyesyesno
User concepts infoAccess controlRole-based access controlno infoCan implement custom security layer via applicationsAccess rights per client and object definableRole-based access controlno

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CockroachDBFatDBGeodeGigaSpacesOpenTSDB
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