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DBMS > jBASE vs. Manticore Search vs. PouchDB vs. Splice Machine

System Properties Comparison jBASE vs. Manticore Search vs. PouchDB vs. Splice Machine

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Editorial information provided by DB-Engines
NamejBASE  Xexclude from comparisonManticore Search  Xexclude from comparisonPouchDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA robust multi-value DBMS comprising development tools and middlewareMulti-storage database for search, including full-text search.JavaScript DBMS with an API inspired by CouchDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelMultivalue DBMSSearch engineDocument storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score2.28
Rank#115  Overall
#21  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasemanticoresearch.compouchdb.comsplicemachine.com
Technical documentationdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9manual.manticoresearch.compouchdb.com/­guidessplicemachine.com/­how-it-works
DeveloperRocket Software (formerly Zumasys)Manticore SoftwareApache Software FoundationSplice Machine
Initial release1991201720122014
Current release5.76.0, February 20237.1.1, June 20193.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptJava
Server operating systemsAIX
Linux
Windows
FreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Data schemeschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateoptionalInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannoyes
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.yesCan index from XMLno
Secondary indexesyes infofull-text index on all search fieldsyes infovia viewsyes
SQL infoSupport of SQLEmbedded SQL for jBASE in BASICSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Basic
Jabbascript
Java
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functionsView functions in JavaScriptyes infoJava
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infowith a proxy-based framework, named couchdb-loungeShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoby using IndexedDB, WebSQL or LevelDB as backendyes
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 can be defined down to the item levelnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
jBASEManticore SearchPouchDBSplice Machine
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