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DBMS > Datomic vs. Hypertable vs. IRONdb vs. Microsoft SQL Server

System Properties Comparison Datomic vs. Hypertable vs. IRONdb vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosofts flagship relational DBMS
Primary database modelRelational DBMSWide column storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.70
Rank#138  Overall
#68  Relational DBMS
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Score941.20
Rank#3  Overall
#3  Relational DBMS
Websitewww.datomic.comwww.circonus.com/­solutions/­time-series-databasewww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.datomic.comdocs.circonus.com/­irondbdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperCognitectHypertable Inc.Circonus LLC.Microsoft
Initial release2012200920171989
Current release1.0.6362, January 20220.9.8.11, March 2016V0.10.20, January 2018SQL Server 2019, November 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C and C++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infotext, numeric, histogramsyes
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.nonoyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesClojure
Java
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes, in LuaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
TriggersBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingAutomatic, metric affinity per nodetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelconfigurable replication factor, datacenter awareyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentnoyes
User concepts infoAccess controlnononofine grained access rights according to SQL-standard

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More resources
DatomicHypertableIRONdbMicrosoft SQL Server
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