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DBMS > Bangdb vs. Elasticsearch vs. Kinetica vs. Memcached vs. SingleStore

System Properties Comparison Bangdb vs. Elasticsearch vs. Kinetica vs. Memcached vs. SingleStore

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonElasticsearch  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFully vectorized database across both GPUs and CPUsIn-memory key-value store, originally intended for cachingMySQL 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 modelDocument store
Graph DBMS
Time Series DBMS
Search engineRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector 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
Score132.83
Rank#7  Overall
#1  Search engines
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitebangdb.comwww.elastic.co/­elasticsearchwww.kinetica.comwww.memcached.orgwww.singlestore.com
Technical documentationdocs.bangdb.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.kinetica.comgithub.com/­memcached/­memcached/­wikidocs.singlestore.com
DeveloperSachin Sinha, BangDBElasticKineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSingleStore Inc.
Initial release20122010201220032013
Current releaseBangDB 2.0, October 20218.6, January 20237.1, August 20211.6.27, May 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoElastic LicensecommercialOpen Source infoBSD licensecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageC, C++JavaC, C++CC++, Go
Server operating systemsLinuxAll OS with a Java VMLinuxFreeBSD
Linux
OS X
Unix
Windows
Linux info64 bit version required
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesnoyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyes infoAll search fields are automatically indexedyesnoyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query languageSQL-like DML and DDL statementsnoyes infobut no triggers and foreign keys
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Proprietary protocolCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Java
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsnoyes
Triggersyes, Notifications (with Streaming only)yes infoby using the 'percolation' featureyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesnoyes 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.yes, run db with in-memory only modeMemcached and Redis integrationyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyes (enterprise version only)Access rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocolFine grained access control via users, groups and roles
More information provided by the system vendor
BangdbElasticsearchKineticaMemcachedSingleStore 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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BangdbElasticsearchKineticaMemcachedSingleStore infoformer name was MemSQL
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