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DBMS > Altibase vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Pinecone

System Properties Comparison Altibase vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Pinecone

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOrigoDB  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSFully managed big data interactive analytics platformA fully ACID in-memory object graph databaseA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMS infocolumn orientedDocument store
Object oriented DBMS
Vector DBMS
Secondary database modelsDocument 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#200  Overall
#93  Relational DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitealtibase.comazure.microsoft.com/­services/­data-explorerorigodb.comwww.pinecone.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.microsoft.com/­en-us/­azure/­data-explorerorigodb.com/­docsdocs.pinecone.io/­docs/­overview
DeveloperAltibaseMicrosoftRobert Friberg et alPinecone Systems, Inc
Initial release199920192009 infounder the name LiveDB2019
Current releasev7.3, 2023, August 2023cloud service with continuous releases
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#
Server operating systemsAIX
HP-UX
Linux
hostedLinux
Windows
hosted
Data schemeyesFixed schema with schema-less datatypes (dynamic)yes
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-typesUser defined using .NET types and collectionsString, Number, Boolean
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.noyesno infocan be achieved using .NETno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLANSI SQL-92Kusto Query Language (KQL), SQL subsetnono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP API
Supported programming languagesC
C++
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.NetPython
Server-side scripts infoStored proceduresstored procedures and stored functionsYes, possible languages: KQL, Python, Ryes
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
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 ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAzure Active Directory AuthenticationRole based authorization

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More resources
AltibaseMicrosoft Azure Data ExplorerOrigoDBPinecone
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