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DBMS > etcd vs. Heroic vs. Microsoft Azure Synapse Analytics vs. openGauss vs. Trafodion

System Properties Comparison etcd vs. Heroic vs. Microsoft Azure Synapse Analytics vs. openGauss vs. Trafodion

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonopenGauss  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed reliable key-value storeTime 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 ServerAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
github.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsgitee.com/­opengauss
opengauss.org
trafodion.apache.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
spotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
trafodion.apache.org/­documentation.html
DeveloperSpotifyMicrosoftHuawei and openGauss communityApache Software Foundation, originally developed by HP
Initial release2014201620192014
Current release3.4, August 20193.0, March 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++C, C++, JavaC++, Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinuxLinux
Data schemeschema-freeschema-freeyesyesyes
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.nonononono
Secondary indexesnoyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLnonoyesANSI SQL 2011yes
APIs and other access methodsgRPC
JSON over HTTP
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
Java
PHP
C
C++
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoTransact SQLyesJava Stored Procedures
Triggersyes, watching key changesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioninghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesyesSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononono
User concepts infoAccess controlnoyesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
etcdHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseopenGaussTrafodion
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