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DBMS > OpenEdge vs. PouchDB vs. Realm vs. SingleStore

System Properties Comparison OpenEdge vs. PouchDB vs. Realm vs. SingleStore

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Editorial information provided by DB-Engines
NameOpenEdge  Xexclude from comparisonPouchDB  Xexclude from comparisonRealm  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemJavaScript DBMS with an API inspired by CouchDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataMySQL 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 type
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score7.41
Rank#52  Overall
#8  Document stores
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitewww.progress.com/­openedgepouchdb.comrealm.iowww.singlestore.com
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestpouchdb.com/­guidesrealm.io/­docsdocs.singlestore.com
DeveloperProgress Software CorporationApache Software FoundationRealm, acquired by MongoDB in May 2019SingleStore Inc.
Initial release1984201220142013
Current releaseOpenEdge 12.2, March 20207.1.1, June 20198.5, January 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaScriptC++, Go
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Android
Backend: server-less
iOS
Windows
Linux info64 bit version required
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnonono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesProgress proprietary ABL (Advanced Business Language)JavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesView functions in JavaScriptno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersyesyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4Sharding infowith a proxy-based framework, named couchdb-loungenoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realmyes
User concepts infoAccess controlUsers and groupsnoyesFine grained access control via users, groups and roles
More information provided by the system vendor
OpenEdgePouchDBRealmSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
OpenEdgePouchDBRealmSingleStore infoformer name was MemSQL
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