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DBMS > Bangdb vs. Datomic vs. Sphinx vs. WakandaDB

System Properties Comparison Bangdb vs. Datomic vs. Sphinx vs. WakandaDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOpen source search engine for searching in data from different sources, e.g. relational databasesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSSearch engineObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitebangdb.comwww.datomic.comsphinxsearch.comwakanda.github.io
Technical documentationdocs.bangdb.comdocs.datomic.comsphinxsearch.com/­docswakanda.github.io/­doc
DeveloperSachin Sinha, BangDBCognitectSphinx Technologies Inc.Wakanda SAS
Initial release2012201220012012
Current releaseBangDB 2.0, October 20211.0.6735, June 20233.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infolimited edition freeOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended 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, C++Java, ClojureC++C++, JavaScript
Server operating systemsLinuxAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query language (SphinxQL)no
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIProprietary protocolRESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyes
Triggersyes, Notifications (with Streaming only)By using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone infoBut extensive use of caching in the application peersSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)none infoBut extensive use of caching in the application peersnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes inforecommended only for testing and developmentno
User concepts infoAccess controlyes (enterprise version only)nonoyes

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BangdbDatomicSphinxWakandaDB
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