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DBMS > BoltDB vs. Citus vs. Heroic vs. Microsoft Azure Synapse Analytics vs. Vitess

System Properties Comparison BoltDB vs. Citus vs. Heroic vs. Microsoft Azure Synapse Analytics vs. Vitess

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCitus  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.citusdata.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsvitess.io
Technical documentationdocs.citusdata.comspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsvitess.io/­docs
DeveloperSpotifyMicrosoftThe Linux Foundation, PlanetScale
Initial release20132010201420162013
Current release8.1, December 201815.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCJavaC++Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedDocker
Linux
macOS
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infospecific XML type available, but no XML query functionalitynono
Secondary indexesnoyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnoyesyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
PHP
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 proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noTransact SQLyes infoproprietary syntax
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
BoltDBCitusHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseVitess
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