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DBMS > Bangdb vs. Databricks vs. Manticore Search vs. PostGIS

System Properties Comparison Bangdb vs. Databricks vs. Manticore Search vs. PostGIS

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatabricks  Xexclude from comparisonManticore Search  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Multi-storage database for search, including full-text search.Spatial extension of PostgreSQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Relational DBMS
Search engineSpatial DBMS
Secondary database modelsSpatial DBMSTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitebangdb.comwww.databricks.commanticoresearch.compostgis.net
Technical documentationdocs.bangdb.comdocs.databricks.commanual.manticoresearch.compostgis.net/­documentation
DeveloperSachin Sinha, BangDBDatabricksManticore Software
Initial release2012201320172005
Current releaseBangDB 2.0, October 20216.0, February 20233.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoGPL version 2Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C
Server operating systemsLinuxhostedFreeBSD
Linux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)Fixed schemayes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsInt, 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.noyesCan index from XMLyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL like support with command line toolwith Databricks SQLSQL-like query languageyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC
C#
C++
Java
Python
Python
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functionsuser defined functions
Triggersyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoPartitioning is done manually, search queries against distributed index is supportedyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSynchronous replication based on Galera libraryyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes 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.yes, run db with in-memory only modenono
User concepts infoAccess controlyes (enterprise version only)noyes infobased on PostgreSQL
More information provided by the system vendor
BangdbDatabricksManticore SearchPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BangdbDatabricksManticore SearchPostGIS
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