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DBMS > Cachelot.io vs. Fujitsu Enterprise Postgres vs. GridDB vs. jBASE vs. LevelDB

System Properties Comparison Cachelot.io vs. Fujitsu Enterprise Postgres vs. GridDB vs. jBASE vs. LevelDB

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGridDB  Xexclude from comparisonjBASE  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionIn-memory caching systemEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Scalable in-memory time series database optimized for IoT and Big DataA robust multi-value DBMS comprising development tools and middlewareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelKey-value storeRelational DBMSTime Series DBMSMultivalue DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websitecachelot.iowww.postgresql.fastware.comgriddb.netwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­google/­leveldb
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.griddb.netdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9github.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyToshiba CorporationRocket Software (formerly Zumasys)Google
Initial release2015201319912011
Current releaseFujitsu Enterprise Postgres 14, January 20225.1, August 20225.71.23, February 2021
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++C++
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
LinuxAIX
Linux
Windows
Illumos
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes infonumerical, string, blob, geometry, boolean, timestampoptionalno
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.nonoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesSQL92, SQL-like TQL (Toshiba Query Language)Embedded SQL for jBASE in BASICno
APIs and other access methodsMemcached protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnouser defined functionsnoyesno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at container levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelno
More information provided by the system vendor
Cachelot.ioFujitsu Enterprise PostgresGridDBjBASELevelDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Cachelot.ioFujitsu Enterprise PostgresGridDBjBASELevelDB
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