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DBMS > Bangdb vs. EXASOL vs. Fujitsu Enterprise Postgres vs. Manticore Search

System Properties Comparison Bangdb vs. EXASOL vs. Fujitsu Enterprise Postgres vs. Manticore Search

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEXASOL  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Multi-storage database for search, including full-text search.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websitebangdb.comwww.exasol.comwww.postgresql.fastware.commanticoresearch.com
Technical documentationdocs.bangdb.comwww.exasol.com/­resourceswww.postgresql.fastware.com/­product-manualsmanual.manticoresearch.com
DeveloperSachin Sinha, BangDBExasolPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyManticore Software
Initial release201220002017
Current releaseBangDB 2.0, October 2021Fujitsu Enterprise Postgres 14, January 20226.0, February 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialOpen 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 languageC, C++CC++
Server operating systemsLinuxLinux
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesyesFixed schema
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesInt, 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.nonoCan index from XML
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL like support with command line toolyesyesSQL-like query language
APIs and other access methodsProprietary protocol
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC
C#
C++
Java
Python
Java
Lua
Python
R
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsuser defined functions
Triggersyes, Notifications (with Streaming only)yesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingpartitioning by range, list and by hashSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes 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.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
BangdbEXASOLFujitsu Enterprise PostgresManticore Search
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
BangdbEXASOLFujitsu Enterprise PostgresManticore Search
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