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DBMS > Brytlyt vs. GBase vs. GridDB vs. Pinecone vs. XTDB

System Properties Comparison Brytlyt vs. GBase vs. GridDB vs. Pinecone vs. XTDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGBase  Xexclude from comparisonGridDB  Xexclude from comparisonPinecone  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Scalable in-memory time series database optimized for IoT and Big DataA managed, cloud-native vector databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSTime Series DBMSVector DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitebrytlyt.iowww.gbase.cngriddb.netwww.pinecone.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.brytlyt.iodocs.griddb.netdocs.pinecone.io/­docs/­overviewwww.xtdb.com/­docs
DeveloperBrytlytGeneral Data Technology Co., Ltd.Toshiba CorporationPinecone Systems, IncJuxt Ltd.
Initial release20162004201320192019
Current release5.0, August 2023GBase 8a, GBase 8s, GBase 8c5.1, August 20221.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC, Java, PythonC++Clojure
Server operating systemsLinux
OS X
Windows
LinuxLinuxhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampString, Number, Booleanyes, extensible-data-notation format
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.yes infospecific XML-type available, but no XML query functionality.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesStandard with numerous extensionsSQL92, SQL-like TQL (Toshiba Query Language)nolimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP APIHTTP REST
JDBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
PythonClojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functionsnono
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users can be defined per database
More information provided by the system vendor
BrytlytGBaseGridDBPineconeXTDB infoformerly named Crux
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
BrytlytGBaseGridDBPineconeXTDB infoformerly named Crux
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Recent citations in the news

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London data analytics startup Brytlyt raises €4.43M from Amsterdam-based Finch Capital, others
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