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DBMS > atoti vs. ITTIA vs. Linter vs. Quasardb

System Properties Comparison atoti vs. ITTIA vs. Linter vs. Quasardb

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonITTIA  Xexclude from comparisonLinter  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Edge Time Series DBMS with Real-Time Stream ProcessingRDBMS for high security requirementsDistributed, high-performance timeseries database
Primary database modelObject oriented DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteatoti.iowww.ittia.comlinter.ruquasar.ai
Technical documentationdocs.atoti.iodoc.quasar.ai/­master
DeveloperActiveViamITTIA L.L.C.relex.ruquasardb
Initial release200719902009
Current release8.73.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaC and C++C and C++C++
Server operating systemsLinux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
BSD
Linux
OS X
Windows
Data schemeFixed schemayesschema-free
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyes infointeger and binary
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.nonono
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP API
Supported programming languagesC
C++
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresPythonyesyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
User concepts infoAccess controlDatabase file passwordsfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
atotiITTIALinterQuasardb
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