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DBMS > Altibase vs. Elasticsearch vs. Ignite vs. ITTIA vs. Microsoft Azure Data Explorer

System Properties Comparison Altibase vs. Elasticsearch vs. Ignite vs. ITTIA vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonElasticsearch  Xexclude from comparisonIgnite  Xexclude from comparisonITTIA  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Edge Time Series DBMS with Real-Time Stream ProcessingFully managed big data interactive analytics platform
Primary database modelRelational DBMSSearch engineKey-value store
Relational DBMS
Time Series DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMSDocument 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
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Websitealtibase.comwww.elastic.co/­elasticsearchignite.apache.orgwww.ittia.comazure.microsoft.com/­services/­data-explorer
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperAltibaseElasticApache Software FoundationITTIA L.L.C.Microsoft
Initial release19992010201520072019
Current releasev7.3, 2023, August 20238.6, January 2023Apache Ignite 2.68.7cloud service with continuous releases
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoElastic LicenseOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++, Java, .NetC and C++
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Windows
hosted
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesFixed schemaFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesall fields are automatically indexed
SQL infoSupport of SQLANSI SQL-92SQL-like query languageANSI-99 for query and DML statements, subset of DDLyesKusto Query Language (KQL), SQL subset
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Java API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC
C++
Java
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresstored procedures and stored functionsyesyes (compute grid and cache interceptors can be used instead)yesYes, possible languages: KQL, Python, R
Triggersyesyes infoby using the 'percolation' featureyes (cache interceptors and events)noyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)yesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes (compute grid and hadoop accelerator)noSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsDatabase file passwordsAzure Active Directory Authentication

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More resources
AltibaseElasticsearchIgniteITTIAMicrosoft Azure Data Explorer
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