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DBMS > Datomic vs. Graphite vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

System Properties Comparison Datomic vs. Graphite vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphite  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA multi-model DBMS and application serverElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.96
Rank#117  Overall
#57  Relational DBMS
Score4.53
Rank#75  Overall
#4  Time Series DBMS
Score3.25
Rank#86  Overall
#14  Key-value stores
#1  Object oriented DBMS
#46  Relational DBMS
Score12.37
Rank#42  Overall
#26  Relational DBMS
Websitewww.datomic.comgithub.com/­graphite-project/­graphite-webwww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.datomic.comgraphite.readthedocs.iodocs.intersystems.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCognitectChris DavisInterSystemsMicrosoftTeradata
Initial release20122006199720162005
Current release0.9.5951, July 20192018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialcommercialcommercial
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 languageJava, ClojurePythonC++
Server operating systemsAll OS with a Java VMLinux
Unix
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeyesyesdepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
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.nonoyesnoyes infoin Aster File Store
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyesyesyes
APIs and other access methodsRESTful HTTP APIHTTP API
Sockets
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
JavaScript (Node.js)
Python
C#
C++
Java
C#
Java
PHP
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoyesTransact SQLR packages
TriggersBy using transaction functionsnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneSource-replica replicationyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesno
User concepts infoAccess controlnonoAccess rights for users, groups and rolesyesfine grained access rights according to SQL-standard

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More resources
DatomicGraphiteInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradata Aster
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