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DBMS > Geode vs. HarperDB vs. Ignite vs. Trafodion

System Properties Comparison Geode vs. HarperDB vs. Ignite vs. Trafodion

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHarperDB  Xexclude from comparisonIgnite  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Transactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeDocument storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.55
Rank#248  Overall
#38  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitegeode.apache.orgwww.harperdb.ioignite.apache.orgtrafodion.apache.org
Technical documentationgeode.apache.org/­docsdocs.harperdb.io/­docsapacheignite.readme.io/­docstrafodion.apache.org/­documentation.html
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HarperDBApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2002201720152014
Current release1.1, February 20173.1, August 2021Apache Ignite 2.62.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++, Java, .NetC++, Java
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like data manipulation statementsANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1yes (compute grid and cache interceptors can be used instead)Java Stored Procedures
Triggersyes infoCache Event Listenersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infothe nodes on which a table resides can be definedyes (replicated cache)yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and rolesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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GeodeHarperDBIgniteTrafodion
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