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DBMS > Geode vs. HarperDB vs. SingleStore vs. Transwarp KunDB vs. XTDB

System Properties Comparison Geode vs. HarperDB vs. SingleStore vs. Transwarp KunDB vs. XTDB

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHarperDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOLTP DBMS based on a distributed architecture and highly compatible with MySQL and OracleA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.55
Rank#243  Overall
#38  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.04
Rank#362  Overall
#154  Relational DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websitegeode.apache.orgwww.harperdb.iowww.singlestore.comwww.transwarp.cn/­en/­product/­kundbgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgeode.apache.org/­docsdocs.harperdb.io/­docsdocs.singlestore.comwww.xtdb.com/­docs
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HarperDBSingleStore Inc.TranswarpJuxt Ltd.
Initial release2002201720132019
Current release1.1, February 20173.1, August 20218.5, January 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree community edition availablecommercial infofree developer edition availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++, GoClojure
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Linux info64 bit version requiredAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freedynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes, extensible-data-notation format
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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like data manipulation statementsyes infobut no triggers and foreign keysyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP REST
JDBC
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
Bash
C
C#
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1yesyesno
Triggersyes infoCache Event Listenersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infohash partitioninghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infothe nodes on which a table resides can be definedSource-replica replication infostores two copies of each physical data partition on two separate nodesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and rolesFine grained access control via users, groups and rolesyes

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More resources
GeodeHarperDBSingleStore infoformer name was MemSQLTranswarp KunDBXTDB infoformerly named Crux
DB-Engines blog posts

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SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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