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DBMS > Cachelot.io vs. GridDB vs. HugeGraph vs. jBASE vs. LevelDB

System Properties Comparison Cachelot.io vs. GridDB vs. HugeGraph vs. jBASE vs. LevelDB

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGridDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonjBASE  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionIn-memory caching systemScalable in-memory time series database optimized for IoT and Big DataA fast-speed and highly-scalable Graph DBMSA 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 storeTime Series DBMSGraph DBMSMultivalue DBMSKey-value store
Secondary database modelsKey-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
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websitecachelot.iogriddb.netgithub.com/­hugegraph
hugegraph.apache.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­google/­leveldb
Technical documentationdocs.griddb.nethugegraph.apache.org/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9github.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperToshiba CorporationBaiduRocket Software (formerly Zumasys)Google
Initial release20152013201819912011
Current release5.1, August 20220.95.71.23, February 2021
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0commercialOpen 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++C++JavaC++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
macOS
Unix
AIX
Linux
Windows
Illumos
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyesoptionalno
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.nononoyesno
Secondary indexesnoyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)noEmbedded SQL for jBASE in BASICno
APIs and other access methodsMemcached protocolJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
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
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
Python
.Net
Basic
Jabbascript
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsyesno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseUsers, roles and permissionsAccess rights can be defined down to the item levelno
More information provided by the system vendor
Cachelot.ioGridDBHugeGraphjBASELevelDB
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.ioGridDBHugeGraphjBASELevelDB
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