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DBMS > Kinetica vs. Microsoft Azure Data Explorer vs. Teradata vs. TerminusDB

System Properties Comparison Kinetica vs. Microsoft Azure Data Explorer vs. Teradata vs. TerminusDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsFully managed big data interactive analytics platformA hybrid cloud data analytics software platform (Teradata Vantage)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMS infocolumn orientedRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websitewww.kinetica.comazure.microsoft.com/­services/­data-explorerwww.teradata.comterminusdb.com
Technical documentationdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.teradata.comterminusdb.github.io/­terminusdb/­#
DeveloperKineticaMicrosoftTeradataDataChemist Ltd.
Initial release2012201919842018
Current release7.1, August 2021cloud service with continuous releasesTeradata Vantage 1.0 MU2, January 201911.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Prolog, Rust
Server operating systemsLinuxhostedhosted
Linux
Linux
Data schemeyesFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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.noyesyesno
Secondary indexesyesall fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsKusto Query Language (KQL), SQL subsetyes infoSQL 2016 + extensionsSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsYes, possible languages: KQL, Python, Ryes infoUDFs, stored procedures, table functions in parallelyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoHashingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.yes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelAzure Active Directory Authenticationfine grained access rights according to SQL-standardRole-based access control

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More resources
KineticaMicrosoft Azure Data ExplorerTeradataTerminusDB infoformer name was DataChemist
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