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DBMS > Fujitsu Enterprise Postgres vs. LevelDB vs. Manticore Search vs. Sadas Engine vs. Tkrzw

System Properties Comparison Fujitsu Enterprise Postgres vs. LevelDB vs. Manticore Search vs. Sadas Engine vs. Tkrzw

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonLevelDB  Xexclude from comparisonManticore Search  Xexclude from comparisonSadas Engine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMulti-storage database for search, including full-text search.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSKey-value storeSearch engineRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.postgresql.fastware.comgithub.com/­google/­leveldbmanticoresearch.comwww.sadasengine.comdbmx.net/­tkrzw
Technical documentationwww.postgresql.fastware.com/­product-manualsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmanual.manticoresearch.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleManticore SoftwareSADAS s.r.l.Mikio Hirabayashi
Initial release2011201720062020
Current releaseFujitsu Enterprise Postgres 14, January 20221.23, February 20216.0, February 20238.00.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoGPL version 2commercial infofree trial version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++C++C++
Server operating systemsLinux
Windows
Illumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
AIX
Linux
Windows
Linux
macOS
Data schemeyesschema-freeFixed schemayesschema-free
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesno
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.noCan index from XMLnono
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnoSQL-like query languageyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsnono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSynchronous replication based on Galera librarynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'yes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
Fujitsu Enterprise PostgresLevelDBManticore SearchSadas EngineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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Fujitsu Enterprise PostgresLevelDBManticore SearchSadas EngineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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