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DBMS > EsgynDB vs. Infobright vs. MarkLogic vs. Tigris

System Properties Comparison EsgynDB vs. Infobright vs. MarkLogic vs. Tigris

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonInfobright  Xexclude from comparisonMarkLogic  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendOperational and transactional Enterprise NoSQL databaseA 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 DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.esgyn.cnignitetech.com/­softwarelibrary/­infobrightdbwww.progress.com/­marklogicwww.tigrisdata.com
Technical documentationwww.progress.com/­marklogic/­documentationwww.tigrisdata.com/­docs
DeveloperEsgynIgnite Technologies Inc.; formerly InfoBright Inc.MarkLogic Corp.Tigris Data, Inc.
Initial release2015200520012022
Current release11.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial inforestricted free version is availableOpen 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++, JavaCC++
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLyesyesyes infoSQL92no
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infovia XQuery or JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID
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.noyesyes, with Range Indexes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesRole-based access control at the document and subdocument levelsAccess rights for users and roles

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More resources
EsgynDBInfobrightMarkLogicTigris
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