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DBMS > AlaSQL vs. Fujitsu Enterprise Postgres vs. HugeGraph vs. jBASE vs. Kinetica

System Properties Comparison AlaSQL vs. Fujitsu Enterprise Postgres vs. HugeGraph vs. jBASE vs. Kinetica

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHugeGraph  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionJavaScript DBMS libraryEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A fast-speed and highly-scalable Graph DBMSA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitealasql.orgwww.postgresql.fastware.comgithub.com/­hugegraph
hugegraph.apache.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.postgresql.fastware.com/­product-manualshugegraph.apache.org/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.com
DeveloperAndrey Gershun & Mathias R. WulffPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyBaiduRocket Software (formerly Zumasys)Kinetica
Initial release2014201819912012
Current releaseFujitsu Enterprise Postgres 14, January 20220.95.77.1, August 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptCJavaC, C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
macOS
Unix
AIX
Linux
Windows
Linux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesoptionalyes
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.nonoyesno
Secondary indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoEmbedded SQL for jBASE in BASICSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaScript.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Python
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobsyesuser defined functions
Triggersyesyesnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights can be defined down to the item levelAccess rights for users and roles on table level

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More resources
AlaSQLFujitsu Enterprise PostgresHugeGraphjBASEKinetica
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