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DBMS > Alibaba Cloud Table Store vs. Databricks vs. Faircom DB vs. jBASE vs. Prometheus

System Properties Comparison Alibaba Cloud Table Store vs. Databricks vs. Faircom DB vs. jBASE vs. Prometheus

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDatabricks  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonjBASE  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A robust multi-value DBMS comprising development tools and middlewareOpen-source Time Series DBMS and monitoring system
Primary database modelWide column storeDocument store
Relational DBMS
Key-value store
Relational DBMS
Multivalue DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.databricks.comwww.faircom.com/­products/­faircom-dbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseprometheus.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.databricks.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9prometheus.io/­docs
DeveloperAlibabaDatabricksFairCom CorporationRocket Software (formerly Zumasys)
Initial release20162013197919912015
Current releaseV12, November 20205.7
License infoCommercial or Open Sourcecommercialcommercialcommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++Go
Server operating systemshostedhostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
Linux
Windows
Linux
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema free, schema optional, schema required, partial schema,schema-freeyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresoptionalNumeric data only
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.noyesnoyesno infoImport of XML data possible
Secondary indexesnoyesyesno
SQL infoSupport of SQLnowith Databricks SQLyes, ANSI SQL with proprietary extensionsEmbedded SQL for jBASE in BASICno
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP/JSON API
Supported programming languagesJava
Python
Python
R
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Basic
Jabbascript
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes info.Net, JavaScript, C/C++yesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
none
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDtunable from ACID to Eventually ConsistentACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensFine grained access rights according to SQL-standard with additional protections for filesAccess rights can be defined down to the item levelno
More information provided by the system vendor
Alibaba Cloud Table StoreDatabricksFaircom DB infoformerly c-treeACEjBASEPrometheus
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Alibaba Cloud Table StoreDatabricksFaircom DB infoformerly c-treeACEjBASEPrometheus
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