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

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

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSqrrl  Xexclude from comparisonTimesTen  Xexclude from comparisonYanza  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.Yanza seems to be discontinued. Therefore it is excluded 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 OracleTime Series DBMS for IoT Applications
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMSTime Series 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
Websiteatoti.iowww.faircom.com/­products/­faircom-edgesqrrl.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlyanza.com
Technical documentationdocs.atoti.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperActiveViamFairCom CorporationAmazon infooriginally Sqrrl Data, Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Yanza
Initial release1979201219982015
Current releaseV3, October 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoRestricted, free version availablecommercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesno
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.yesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infoANSI SQL queriesnoyesno
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)
HTTP API
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresPythonyes info.Net, JavaScript, C/C++noPL/SQLno
Triggersyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningFile partitioning infoCustomizable business rules for partitioningSharding infomaking use of Hadoopnonenone
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
none
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 configurationImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic updates per row, document, or graph entityACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoacross SQL and NoSQLyesyesyes
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.yesyesyes
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-standardno

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More resources
atotiFaircom EDGE infoformerly c-treeEDGESqrrlTimesTenYanza
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