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DBMS > EsgynDB vs. Linter vs. SQream DB vs. Tigris

System Properties Comparison EsgynDB vs. Linter vs. SQream DB vs. Tigris

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonLinter  Xexclude from comparisonSQream DB  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionRDBMS for high security requirementsa GPU-based, columnar RDBMS for big data analytics workloadsA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.esgyn.cnlinter.rusqream.comwww.tigrisdata.com
Technical documentationdocs.sqream.comwww.tigrisdata.com/­docs
DeveloperEsgynrelex.ruSQream TechnologiesTigris Data, Inc.
Initial release2015199020172022
Current release2022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
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 languageC++, JavaC and C++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
LinuxLinux
macOS
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
.Net
JDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functions in Pythonno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
EsgynDBLinterSQream DBTigris
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