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DBMS > GigaSpaces vs. Pinecone vs. RocksDB vs. SWC-DB vs. TypeDB

System Properties Comparison GigaSpaces vs. Pinecone vs. RocksDB vs. SWC-DB vs. TypeDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonPinecone  Xexclude from comparisonRocksDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA managed, cloud-native vector databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A high performance, scalable Wide Column DBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Vector DBMSKey-value storeWide column storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsGraph DBMS
Search engine
Time Series 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
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.gigaspaces.comwww.pinecone.iorocksdb.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
typedb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.pinecone.io/­docs/­overviewgithub.com/­facebook/­rocksdb/­wikitypedb.com/­docs
DeveloperGigaspaces TechnologiesPinecone Systems, IncFacebook, Inc.Alex KashirinVaticle
Initial release20002019201320202016
Current release15.5, September 20208.11.4, April 20240.5, April 20212.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoBSDOpen Source infoGPL V3Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++C++Java
Server operating systemsLinux
macOS
Solaris
Windows
hostedLinuxLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesString, Number, Booleannoyes
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 metadatanononono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnonoSQL-like query languageno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIC++ API
Java API
Proprietary protocol
Thrift
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
C++
Java
Python
Scala
PythonC
C++
Go
Java
Perl
Python
Ruby
C++All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnono
User concepts infoAccess controlRole-based access controlnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
GigaSpacesPineconeRocksDBSWC-DB infoSuper Wide Column DatabaseTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
GigaSpacesPineconeRocksDBSWC-DB infoSuper Wide Column DatabaseTypeDB infoformerly named Grakn
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