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DBMS > Elasticsearch vs. HugeGraph vs. IBM Db2 Event Store vs. Manticore Search

System Properties Comparison Elasticsearch vs. HugeGraph vs. IBM Db2 Event Store vs. Manticore Search

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonManticore Search  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 metricA fast-speed and highly-scalable Graph DBMSDistributed Event Store optimized for Internet of Things use casesMulti-storage database for search, including full-text search.
Primary database modelSearch engineGraph DBMSEvent Store
Time Series DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Websitewww.elastic.co/­elasticsearchgithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2-event-storemanticoresearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhugegraph.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-storemanual.manticoresearch.com
DeveloperElasticBaiduIBMManticore Software
Initial release2010201820172017
Current release8.6, January 20230.92.06.0, February 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C++
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, 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.nononoCan index from XML
Secondary indexesyes infoAll search fields are automatically indexedyes infoalso supports composite index and range indexnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoyes infothrough the embedded Spark runtimeSQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Groovy
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsyesuser defined functions
Triggersyes infoby using the 'percolation' featurenonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseActive-active shard replicationSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorvia hugegraph-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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardno

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More resources
ElasticsearchHugeGraphIBM Db2 Event StoreManticore Search
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