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DBMS > Apache Druid vs. HugeGraph vs. Manticore Search vs. Postgres-XL

System Properties Comparison Apache Druid vs. HugeGraph vs. Manticore Search vs. Postgres-XL

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHugeGraph  Xexclude from comparisonManticore Search  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA fast-speed and highly-scalable Graph DBMSMulti-storage database for search, including full-text search.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.23
Rank#317  Overall
#21  Search engines
Score0.52
Rank#256  Overall
#117  Relational DBMS
Websitedruid.apache.orggithub.com/­hugegraph
hugegraph.apache.org
manticoresearch.comwww.postgres-xl.org
Technical documentationdruid.apache.org/­docs/­latest/­designhugegraph.apache.org/­docsmanual.manticoresearch.comwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation and contributorsBaiduManticore Software
Initial release2012201820172014 infosince 2012, originally named StormDB
Current release29.0.1, April 20240.96.0, February 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoGPL version 2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C
Server operating systemsLinux
OS X
Unix
Linux
macOS
Unix
FreeBSD
Linux
macOS
Windows
Linux
macOS
Data schemeyes infoschema-less columns are supportedyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLyes infoXML type, but no XML query functionality
Secondary indexesyesyes infoalso supports composite index and range indexyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Groovy
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsuser defined functionsuser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infodepending on used storage backend, e.g. Cassandra and HBaseSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers, roles and permissionsnofine grained access rights according to SQL-standard

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More resources
Apache DruidHugeGraphManticore SearchPostgres-XL
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