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DBMS > Amazon DocumentDB vs. Faircom DB vs. jBASE vs. Rockset

System Properties Comparison Amazon DocumentDB vs. Faircom DB vs. jBASE vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonjBASE  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceNative 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 middlewareA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument storeKey-value store
Relational DBMS
Multivalue DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websiteaws.amazon.com/­documentdbwww.faircom.com/­products/­faircom-dbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaserockset.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.rockset.com
DeveloperFairCom CorporationRocket Software (formerly Zumasys)Rockset
Initial release2019197919912019
Current releaseV13, July 20245.7
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C++
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
Linux
Windows
hosted
Data schemeschema-freeschema free, schema optional, schema required, partial schema,schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresoptionaldynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsEmbedded SQL for jBASE in BASICRead-only SQL queries, including JOINs
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)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
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Basic
Jabbascript
Java
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationstunable from ACID to Eventually ConsistentACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, 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.yesyes
User concepts infoAccess controlAccess rights for users and rolesFine grained access rights according to SQL-standard with additional protections for filesAccess rights can be defined down to the item levelAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon DocumentDBFaircom DB infoformerly c-treeACEjBASERockset
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