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DBMS > Datomic vs. Ehcache vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Vitess

System Properties Comparison Datomic vs. Ehcache vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Vitess

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEhcache  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted Java cache with tiered storage optionsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.datomic.comwww.ehcache.orgazure.microsoft.com/­services/­synapse-analyticsnsdb.iovitess.io
Technical documentationdocs.datomic.comwww.ehcache.org/­documentationdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturevitess.io/­docs
DeveloperCognitectTerracotta Inc, owned by Software AGMicrosoftThe Linux Foundation, PlanetScale
Initial release20122009201620172013
Current release1.0.6735, June 20233.10.0, March 202215.0.2, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses available
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 languageJava, ClojureJavaC++Java, ScalaGo
Server operating systemsAll OS with a Java VMAll OS with a Java VMhostedLinux
macOS
Docker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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 indexesyesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoyesSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIJCacheADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesClojure
Java
JavaC#
Java
PHP
Java
Scala
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 proceduresyes infoTransaction FunctionsnoTransact SQLnoyes infoproprietary syntax
TriggersBy using transaction functionsyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoby using Terracotta ServerSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoby using Terracotta ServeryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infousing a tiered cache-storage approachyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnonoyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
DatomicEhcacheMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbVitess
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