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DBMS > GridGain vs. Oracle Rdb vs. Sqrrl vs. Typesense

System Properties Comparison GridGain vs. Oracle Rdb vs. Sqrrl vs. Typesense

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSqrrl  Xexclude from comparisonTypesense  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 IgniteAdaptable, secure NoSQL built on Apache AccumuloA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websitewww.gridgain.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlsqrrl.comtypesense.org
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmltypesense.org/­docs
DeveloperGridGain Systems, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Amazon infooriginally Sqrrl Data, Inc.
Initial release2007198420122015
Current releaseGridGain 8.5.17.4.1.1, 2021
License infoCommercial or Open Sourcecommercial, open sourcecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLJavaC++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
HP Open VMSLinuxLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesnono
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
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infomaking use of HadoopMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesno
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.
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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GridGainOracle RdbSqrrlTypesense
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