DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > atoti vs. Graph Engine vs. Linter vs. SWC-DB

System Properties Comparison atoti vs. Graph Engine vs. Linter vs. SWC-DB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonLinter  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineRDBMS for high security requirementsA high performance, scalable Wide Column DBMS
Primary database modelObject oriented DBMSGraph DBMS
Key-value store
Relational DBMSWide column store
Secondary database modelsSpatial 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
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteatoti.iowww.graphengine.iolinter.rugithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.atoti.iowww.graphengine.io/­docs/­manual
DeveloperActiveViamMicrosoftrelex.ruAlex Kashirin
Initial release201019902020
Current release0.5, April 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMIT LicensecommercialOpen Source infoGPL V3
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 languageJava.NET and CC and C++C++
Server operating systems.NETAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes
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 indexesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary protocol
Thrift
Supported programming languagesC#
C++
F#
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
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 partitioninghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
atotiGraph Engine infoformer name: TrinityLinterSWC-DB infoSuper Wide Column Database
Recent citations in the news

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google News

Trinity
2 June 2023, Microsoft

Aerospike Is Now a Graph Database, Too
21 June 2023, Datanami

IBM releases Graph, a service that can outperform SQL databases
27 July 2016, GeekWire

The graph analytics landscape 2019 - DataScienceCentral.com
27 February 2019, Data Science Central

How Google and Microsoft taught search to "understand" the Web
6 June 2012, Ars Technica

provided by Google News

2022 All O-Zone Football Team
17 December 2022, Ozarks Sports Zone

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here