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DBMS > BigObject vs. Postgres-XL vs. Vitess

System Properties Comparison BigObject vs. Postgres-XL vs. Vitess

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitebigobject.iowww.postgres-xl.orgvitess.io
Technical documentationdocs.bigobject.iowww.postgres-xl.org/­documentationvitess.io/­docs
DeveloperBigObject, Inc.The Linux Foundation, PlanetScale
Initial release20152014 infosince 2012, originally named StormDB2013
Current release10 R1, October 201815.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoMozilla public licenseOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGo
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS
Docker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infodistributed, parallel query executionyes infowith proprietary extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresLuauser defined functionsyes infoproprietary syntax
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
BigObjectPostgres-XLVitess
Recent citations in the news

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



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