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DBMS > Apache Druid vs. Bangdb vs. Ingres vs. Manticore Search

System Properties Comparison Apache Druid vs. Bangdb vs. Ingres vs. Manticore Search

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NameApache Druid  Xexclude from comparisonBangdb  Xexclude from comparisonIngres  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataConverged and high performance database for device data, events, time series, document and graphWell established RDBMSMulti-storage database for search, including full-text search.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial 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
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websitedruid.apache.orgbangdb.comwww.actian.com/­databases/­ingresmanticoresearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.bangdb.comdocs.actian.com/­ingresmanual.manticoresearch.com
DeveloperApache Software Foundation and contributorsSachin Sinha, BangDBActian CorporationManticore Software
Initial release201220121974 infooriginally developed at University Berkely in early 1970s2017
Current release29.0.1, April 2024BangDB 2.0, October 202111.2, May 20226.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD 3commercialOpen 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, C++CC++
Server operating systemsLinux
OS X
Unix
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesInt, 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.nonono infobut tools for importing/exporting data from/to XML-files availableCan index from XML
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingSQL like support with command line toolyesSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersnoyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding 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 enginesselectable replication factor, Knob for CAP (enterprise version only)Ingres ReplicatorSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes infoMVCCyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes 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.noyes, run db with in-memory only modeno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes (enterprise version only)fine grained access rights according to SQL-standardno

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More resources
Apache DruidBangdbIngresManticore Search
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