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DBMS > GridGain vs. LevelDB vs. Sqrrl vs. Tkrzw vs. YDB

System Properties Comparison GridGain vs. LevelDB vs. Sqrrl vs. Tkrzw vs. YDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLevelDB  Xexclude from comparisonSqrrl  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAdaptable, secure NoSQL built on Apache AccumuloA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value store
Relational DBMS
Key-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Key-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.gridgain.comgithub.com/­google/­leveldbsqrrl.comdbmx.net/­tkrzwgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdydb.tech/­en/­docs
DeveloperGridGain Systems, Inc.GoogleAmazon infooriginally Sqrrl Data, Inc.Mikio HirabayashiYandex
Initial release20072011201220202019
Current releaseGridGain 8.5.11.23, February 20210.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++JavaC++
Server operating systemsLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
LinuxLinux
macOS
Linux
Data schemeyesschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.yesnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnononoSQL-like query language (YQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nononono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infomaking use of HadoopnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneselectable replication factor infomaking use of HadoopnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classesno
User concepts infoAccess controlSecurity Hooks for custom implementationsnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)noAccess rights defined for Yandex Cloud users

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GridGainLevelDBSqrrlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYDB
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