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DBMS > AgensGraph vs. BigObject vs. LeanXcale vs. SQream DB

System Properties Comparison AgensGraph vs. BigObject vs. LeanXcale vs. SQream DB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBigObject  Xexclude from comparisonLeanXcale  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic DBMS for real-time computations and queriesA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS infoa hierachical model (tree) can be imposedKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitebitnine.net/­agensgraphbigobject.iowww.leanxcale.comsqream.com
Technical documentationbitnine.net/­documentationdocs.bigobject.iodocs.sqream.com
DeveloperBitnine Global Inc.BigObject, Inc.LeanXcaleSQream Technologies
Initial release2016201520152017
Current release2.1, December 20182022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree community edition availablecommercialcommercial
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 languageCC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, 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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infothrough Apache Derbyyes
APIs and other access methodsCypher Query Language
JDBC
fluentd
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.Net
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C
Java
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesLuauser defined functions in Python
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
AgensGraphBigObjectLeanXcaleSQream DB
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