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DBMS > EventStoreDB vs. Geode vs. Google Cloud Bigtable vs. GridGain vs. STSdb

System Properties Comparison EventStoreDB vs. Geode vs. Google Cloud Bigtable vs. GridGain vs. STSdb

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGridGain  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.GridGain 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 method
Primary database modelEvent StoreKey-value storeKey-value store
Wide column store
Key-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.eventstore.comgeode.apache.orgcloud.google.com/­bigtablewww.gridgain.comgithub.com/­STSSoft/­STSdb4
Technical documentationdevelopers.eventstore.comgeode.apache.org/­docscloud.google.com/­bigtable/­docswww.gridgain.com/­docs/­index.html
DeveloperEvent Store LimitedOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleGridGain Systems, Inc.STS Soft SC
Initial release20122002201520072011
Current release21.2, February 20211.1, February 2017GridGain 8.5.14.0.8, September 2015
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC#
Server operating systemsLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
OS X
Solaris
Windows
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes infoprimitive types and user defined types (classes)
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.nonoyes
Secondary indexesnonoyesno
SQL infoSupport of SQLSQL-like query language (OQL)noANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes (compute grid and cache interceptors can be used instead)no
Triggersyes infoCache Event Listenersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeAtomic single-row operationsACIDno
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.yesnoyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsno

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More resources
EventStoreDBGeodeGoogle Cloud BigtableGridGainSTSdb
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