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DBMS > GigaSpaces vs. LevelDB vs. Postgres-XL vs. Sqrrl vs. Tkrzw

System Properties Comparison GigaSpaces vs. LevelDB vs. Postgres-XL vs. Sqrrl vs. Tkrzw

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSqrrl  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAdaptable, 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 Cabinet
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.gigaspaces.comgithub.com/­google/­leveldbwww.postgres-xl.orgsqrrl.comdbmx.net/­tkrzw
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentation
DeveloperGigaspaces TechnologiesGoogleAmazon infooriginally Sqrrl Data, Inc.Mikio Hirabayashi
Initial release200020112014 infosince 2012, originally named StormDB20122020
Current release15.5, September 20201.23, February 202110 R1, October 20180.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoBSDOpen Source infoMozilla public licensecommercialOpen 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 languageJava, C++, .NetC++CJavaC++
Server operating systemsLinux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
LinuxLinux
macOS
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.no infoXML can be used for describing objects metadatanoyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyes infodistributed, parallel query executionnono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C++
Java
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnouser defined functionsnono
Triggersyes, event driven architecturenoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCAtomic updates per row, document, or graph entity
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.yesnoyes infousing specific database classes
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)no

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More resources
GigaSpacesLevelDBPostgres-XLSqrrlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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