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DBMS > Faircom EDGE vs. jBASE vs. Spark SQL vs. Teradata Aster

System Properties Comparison Faircom EDGE vs. jBASE vs. Spark SQL vs. Teradata Aster

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonjBASE  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA robust multi-value DBMS comprising development tools and middlewareSpark SQL is a component on top of 'Spark Core' for structured data processingPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Relational DBMS
Multivalue DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasespark.apache.org/­sql
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFairCom CorporationRocket Software (formerly Zumasys)Apache Software FoundationTeradata
Initial release1979199120142005
Current releaseV3, October 20205.73.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0commercial
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 languageANSI C, C++Scala
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesoptionalyesyes
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.yesyesnoyes infoin Aster File Store
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infoANSI SQL queriesEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Basic
Jabbascript
Java
Java
Python
R
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesnoR packages
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
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.yesyesnono
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights can be defined down to the item levelnofine grained access rights according to SQL-standard

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More resources
Faircom EDGE infoformerly c-treeEDGEjBASESpark SQLTeradata Aster
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