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DBMS > Microsoft Azure Synapse Analytics vs. Splice Machine vs. TerarkDB vs. ToroDB vs. YDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. Splice Machine vs. TerarkDB vs. ToroDB vs. YDB

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  Xexclude from comparisonToroDB  Xexclude from comparisonYDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA MongoDB-compatible JSON document store, built on top of PostgreSQLA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticssplicemachine.comgithub.com/­bytedance/­terarkdbgithub.com/­torodb/­servergithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticssplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcydb.tech/­en/­docs
DeveloperMicrosoftSplice MachineByteDance, originally Terark8KdataYandex
Initial release20162014201620162019
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version availableOpen Source infoAGPL-V3Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
All OS with a Java 7 VMLinux
Data schemeyesyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesnoyes infostring, integer, double, boolean, date, object_idyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesyesnoSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
C++ API
Java API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresTransact SQLyes infoJavanono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
noneSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesno
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardnoAccess rights for users and rolesAccess rights defined for Yandex Cloud users

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice MachineTerarkDBToroDBYDB
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