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DBMS > Elasticsearch vs. Manticore Search vs. Microsoft Azure Data Explorer vs. Oracle Coherence vs. SAP Adaptive Server

System Properties Comparison Elasticsearch vs. Manticore Search vs. Microsoft Azure Data Explorer vs. Oracle Coherence vs. SAP Adaptive Server

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionA 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 metricMulti-storage database for search, including full-text search.Fully managed big data interactive analytics platformOracles in-memory data grid solutionThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelSearch engineSearch engineRelational DBMS infocolumn orientedKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMS infousing the Manticore Columnar LibraryDocument 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
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score0.22
Rank#312  Overall
#21  Search engines
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score36.31
Rank#25  Overall
#17  Relational DBMS
Websitewww.elastic.co/­elasticsearchmanticoresearch.comazure.microsoft.com/­services/­data-explorerwww.oracle.com/­java/­coherencewww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­middleware/­standalone/­coherencehelp.sap.com/­docs/­SAP_ASE
DeveloperElasticManticore SoftwareMicrosoftOracleSAP, Sybase
Initial release20102017201920071987
Current release8.6, January 20236.0, February 2023cloud service with continuous releases14.1, August 202316.0
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoGPL version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC and C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
hostedAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFixed schemaFixed schema with schema-less datatypes (dynamic)schema-freeyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes 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.noCan index from XMLyesnono
Secondary indexesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsall fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageKusto Query Language (KQL), SQL subsetnoyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C++
Java
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsYes, possible languages: KQL, Python, RnoJava and Transact-SQL
Triggersyes infoby using the 'percolation' featurenoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, with selectable consistency levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectornoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesnoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes
User concepts infoAccess controlnoAzure Active Directory Authenticationauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard

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More resources
ElasticsearchManticore SearchMicrosoft Azure Data ExplorerOracle CoherenceSAP Adaptive Server infoformer name: Sybase ASE
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