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DBMS > Apache Phoenix vs. IRONdb vs. Microsoft SQL Server vs. TerminusDB

System Properties Comparison Apache Phoenix vs. IRONdb vs. Microsoft SQL Server vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosofts flagship relational DBMSScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitephoenix.apache.orgwww.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­sql-serverterminusdb.com
Technical documentationphoenix.apache.orgdocs.circonus.com/irondb/category/getting-startedlearn.microsoft.com/­en-US/­sql/­sql-serverterminusdb.github.io/­terminusdb/­#
DeveloperApache Software FoundationCirconus LLC.MicrosoftDataChemist Ltd.
Initial release2014201719892018
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V0.10.20, January 2018SQL Server 2022, November 202211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC and C++C++Prolog, Rust
Server operating systemsLinux
Unix
Windows
LinuxLinux
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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.nonoyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like query language (WOQL)
APIs and other access methodsJDBCHTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.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
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes, in LuaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodetables can be distributed across several files (horizontal partitioning); sharding through federationGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareyes, but depending on the SQL-Server EditionJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardRole-based access control

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More resources
Apache PhoenixIRONdbMicrosoft SQL ServerTerminusDB infoformer name was DataChemist
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