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

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

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGridDB  Xexclude from comparisonIgnite  Xexclude from comparisonjBASE  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionIn-memory caching systemScalable in-memory time series database optimized for IoT and Big DataApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A 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 DBMSKey-value store
Relational DBMS
Multivalue 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
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websitecachelot.iogriddb.netignite.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­google/­leveldb
Technical documentationdocs.griddb.netapacheignite.readme.io/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9github.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperToshiba CorporationApache Software FoundationRocket Software (formerly Zumasys)Google
Initial release20152013201519912011
Current release5.1, August 2022Apache Ignite 2.65.71.23, 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 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++C++, Java, .NetC++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
OS X
Solaris
Windows
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.nonoyesyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)ANSI-99 for query and DML statements, subset of DDLEmbedded SQL for jBASE in BASICno
APIs and other access methodsMemcached protocolJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Basic
Jabbascript
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yesno
Triggersnoyesyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes (replicated cache)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
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 databaseSecurity Hooks for custom implementationsAccess rights can be defined down to the item levelno
More information provided by the system vendor
Cachelot.ioGridDBIgnitejBASELevelDB
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.ioGridDBIgnitejBASELevelDB
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