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DBMS > Geode vs. Hypertable vs. Ignite vs. Riak TS

System Properties Comparison Geode vs. Hypertable vs. Ignite vs. Riak TS

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHypertable  Xexclude from comparisonIgnite  Xexclude from comparisonRiak TS  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn open source BigTable implementation based on distributed file systems such as HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelKey-value storeWide column storeKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitegeode.apache.orgignite.apache.org
Technical documentationgeode.apache.org/­docsapacheignite.readme.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hypertable Inc.Apache Software FoundationOpen Source, formerly Basho Technologies
Initial release2002200920152015
Current release1.1, February 20170.9.8.11, March 2016Apache Ignite 2.63.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java, .NetErlang
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.noyesno
Secondary indexesnorestricted infoonly exact value or prefix value scansyesrestricted
SQL infoSupport of SQLSQL-like query language (OQL)noANSI-99 for query and DML statements, subset of DDLyes, limited
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
C++ API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Native Erlang Interface
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnoyes (compute grid and cache interceptors can be used instead)Erlang
Triggersyes infoCache Event Listenersnoyes (cache interceptors and events)yes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor on file system levelyes (replicated cache)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACIDno
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.yesyes
User concepts infoAccess controlAccess rights per client and object definablenoSecurity Hooks for custom implementationsno

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GeodeHypertableIgniteRiak TS
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