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DBMS > Elasticsearch vs. Manticore Search vs. Microsoft Azure Data Explorer vs. TigerGraph vs. TinkerGraph

System Properties Comparison Elasticsearch vs. Manticore Search vs. Microsoft Azure Data Explorer vs. TigerGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  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 platformA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelSearch engineSearch engineRelational DBMS infocolumn orientedGraph DBMSGraph 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
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
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.elastic.co/­elasticsearchmanticoresearch.comazure.microsoft.com/­services/­data-explorerwww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.tigergraph.com
DeveloperElasticManticore SoftwareMicrosoft
Initial release20102017201920172009
Current release8.6, January 20236.0, February 2023cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoGPL version 2commercialcommercialOpen Source infoApache 2.0
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++C++Java
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
hostedLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFixed schemaFixed schema with schema-less datatypes (dynamic)yesschema-free
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 indexedno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageKusto Query Language (KQL), SQL subsetSQL-like query language (GSQL)no
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
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
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
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresyesuser defined functionsYes, possible languages: KQL, Python, Ryesno
Triggersyes infoby using the 'percolation' featurenoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynono
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 servicenone
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.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectornoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesno
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
none
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnonoyes
User concepts infoAccess controlnoAzure Active Directory AuthenticationRole-based access controlno

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More resources
ElasticsearchManticore SearchMicrosoft Azure Data ExplorerTigerGraphTinkerGraph
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