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DBMS > FeatureBase vs. Geode vs. GridGain vs. STSdb vs. YottaDB

System Properties Comparison FeatureBase vs. Geode vs. GridGain vs. STSdb vs. YottaDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGeode  Xexclude from comparisonGridGain  Xexclude from comparisonSTSdb  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGridGain is an in-memory computing platform, built on Apache IgniteKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fast and solid embedded Key-value store
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Key-value storeKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.featurebase.comgeode.apache.orgwww.gridgain.comgithub.com/­STSSoft/­STSdb4yottadb.com
Technical documentationdocs.featurebase.comgeode.apache.org/­docswww.gridgain.com/­docs/­index.htmlyottadb.com/­resources/­documentation
DeveloperMolecula and Pilosa Open Source ContributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GridGain Systems, Inc.STS Soft SCYottaDB, LLC
Initial release20172002200720112001
Current release2022, May 20221.1, February 2017GridGain 8.5.14.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJava, C++, .NetC#C
Server operating systemsLinux
macOS
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
WindowsDocker
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)no
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.nonoyesno
Secondary indexesnonoyesnono
SQL infoSupport of SQLSQL queriesSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLnoby using the Octo plugin
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJava
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes infoCache Event Listenersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes (replicated cache)noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodeACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights per client and object definableSecurity Hooks for custom implementationsnoUsers and groups based on OS-security mechanisms

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More resources
FeatureBaseGeodeGridGainSTSdbYottaDB
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