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DBMS > Galaxybase vs. Pinecone vs. Sadas Engine vs. SQream DB

System Properties Comparison Galaxybase vs. Pinecone vs. Sadas Engine vs. SQream DB

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Editorial information provided by DB-Engines
NameGalaxybase  Xexclude from comparisonPinecone  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable, ACID-compliant native distributed parallel graph platformA managed, cloud-native vector databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMSVector DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitegalaxybase.comwww.pinecone.iowww.sadasengine.comsqream.com
Technical documentationdocs.pinecone.io/­docs/­overviewwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.sqream.com
DeveloperChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Pinecone Systems, IncSADAS s.r.l.SQream Technologies
Initial release2017201920062017
Current releaseNov 20, November 20218.02022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxhostedAIX
Linux
Windows
Linux
Data schemeStrong typed schemayesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes, ANSI Standard SQL Types
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
.Net
JDBC
ODBC
Supported programming languagesGo
Java
Python
Python.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined procedures and functionsnouser defined functions in Python
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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 infomanaged by 'Learn by Usage'
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
GalaxybasePineconeSadas EngineSQream DB
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