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DBMS > atoti vs. Faircom EDGE vs. Sqrrl vs. TimesTen vs. Vitess

System Properties Comparison atoti vs. Faircom EDGE vs. Sqrrl vs. TimesTen vs. Vitess

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSqrrl  Xexclude from comparisonTimesTen  Xexclude from comparisonVitess  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsAdaptable, secure NoSQL built on Apache AccumuloIn-Memory RDBMS compatible to OracleScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteatoti.iowww.faircom.com/­products/­faircom-edgesqrrl.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlvitess.io
Technical documentationdocs.atoti.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.oracle.com/­database/­timesten-18.1vitess.io/­docs
DeveloperActiveViamFairCom CorporationAmazon infooriginally Sqrrl Data, Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005The Linux Foundation, PlanetScale
Initial release1979201219982013
Current releaseV3, October 202011 Release 2 (11.2.2.8.0)15.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoRestricted, free version availablecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageJavaANSI C, C++JavaGo
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Docker
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infoANSI SQL queriesnoyesyes infowith proprietary extensions
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C++
Java
PL/SQL
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresPythonyes info.Net, JavaScript, C/C++noPL/SQLyes infoproprietary syntax
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningFile partitioning infoCustomizable business rules for partitioningSharding infomaking use of HadoopnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infowhen using SQLnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic updates per row, document, or graph entityACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoacross SQL and NoSQLyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
atotiFaircom EDGE infoformerly c-treeEDGESqrrlTimesTenVitess
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