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DBMS > Apache Druid vs. HEAVY.AI vs. Kdb vs. Manticore Search

System Properties Comparison Apache Druid vs. HEAVY.AI vs. Kdb vs. Manticore Search

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKdb  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performance Time Series DBMSMulti-storage database for search, including full-text search.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Vector DBMS
Search engine
Secondary database modelsSpatial DBMSRelational DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websitedruid.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
kx.commanticoresearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.heavy.aicode.kx.commanual.manticoresearch.com
DeveloperApache Software Foundation and contributorsHEAVY.AI, Inc.Kx Systems, a division of First Derivatives plcManticore Software
Initial release201220162000 infokdb was released 2000, kdb+ in 20032017
Current release29.0.1, April 20245.10, January 20223.6, May 20186.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; enterprise edition availablecommercial infofree 32-bit versionOpen 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 languageJavaC++ and CUDAqC++
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesyesFixed 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.nonoyesCan index from XML
Secondary indexesyesnoyes infotable attribute 'grouped'yes infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingyesSQL-like query language (q)SQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functions
Triggersnonoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoRound robinhorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationSource-replica replicationSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardrights management via user accountsno
More information provided by the system vendor
Apache DruidHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KdbManticore Search
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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Apache DruidHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KdbManticore Search
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