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DBMS > AlaSQL vs. Bangdb vs. Greenplum vs. Splice Machine

System Properties Comparison AlaSQL vs. Bangdb vs. Greenplum vs. Splice Machine

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonBangdb  Xexclude from comparisonGreenplum  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryConverged and high performance database for device data, events, time series, document and graphAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitealasql.orgbangdb.comgreenplum.orgsplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.bangdb.comdocs.greenplum.orgsplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffSachin Sinha, BangDBPivotal Software Inc.Splice Machine
Initial release2014201220052014
Current releaseBangDB 2.0, October 20217.0.0, September 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoBSD 3Open Source infoApache 2.0Open 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 languageJavaScriptC, C++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinuxLinux
OS X
Solaris
Windows
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.nonoyes infosince Version 4.2
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
APIs and other access methodsJavaScript APIProprietary protocol
RESTful HTTP API
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptC
C#
C++
Java
Python
C
Java
Perl
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesyes infoJava
Triggersyesyes, Notifications (with Streaming only)yesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationMulti-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 systemnoneTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
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
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 modenoyes
User concepts infoAccess controlnoyes (enterprise version only)fine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLBangdbGreenplumSplice Machine
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