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DBMS > AlaSQL vs. Bangdb vs. EXASOL vs. SingleStore

System Properties Comparison AlaSQL vs. Bangdb vs. EXASOL vs. SingleStore

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonBangdb  Xexclude from comparisonEXASOL  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryConverged and high performance database for device data, events, time series, document and graphHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.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 type
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitealasql.orgbangdb.comwww.exasol.comwww.singlestore.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.bangdb.comwww.exasol.com/­resourcesdocs.singlestore.com
DeveloperAndrey Gershun & Mathias R. WulffSachin Sinha, BangDBExasolSingleStore Inc.
Initial release2014201220002013
Current releaseBangDB 2.0, October 20218.5, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoBSD 3commercialcommercial 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, C++C++, Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux info64 bit version required
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL like support with command line toolyesyes infobut no triggers and foreign keys
APIs and other access methodsJavaScript APIProprietary protocol
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJavaScriptC
C#
C++
Java
Python
Java
Lua
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersyesyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes, implements WAL (Write ahead log) as wellyesyes 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.yesyes, run db with in-memory only modeyesyes
User concepts infoAccess controlnoyes (enterprise version only)Access rights for users, groups and roles according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
AlaSQLBangdbEXASOLSingleStore 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
AlaSQLBangdbEXASOLSingleStore infoformer name was MemSQL
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