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DBMS > Adabas vs. Druid vs. MarkLogic vs. TigerGraph

System Properties Comparison Adabas vs. Druid vs. MarkLogic vs. TigerGraph

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDruid  Xexclude from comparisonMarkLogic  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformOpen-source analytics data store designed for OLAP queries on timeseries dataOperational and transactional Enterprise NoSQL databaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.34
Rank#70  Overall
#1  Multivalue DBMS
Score1.83
Rank#115  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score12.47
Rank#38  Overall
#6  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score0.96
Rank#154  Overall
#10  Graph DBMS
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmldruid.apache.orgwww.marklogic.comwww.tigergraph.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.marklogic.comdocs.tigergraph.com
DeveloperSoftware AGMetamarkets Group and contributorsMarkLogic Corp.
Initial release1971201220012017
Current release9.0, 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial inforestricted free version is availablecommercial
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++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
Linux
OS X
Windows
Linux
Data schemeyesyes infoschema-less columns are supportedschema-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 indexesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL support via Apache Calcite adapteryes infoSQL92SQL-like query language (GSQL)
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JSON over HTTPJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresin Naturalnoyes infovia XQuery or JavaScriptyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, with Range Indexesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)no infoavailable via extensionsRole-based access control at the document and subdocument levelsRole-based access control
More information provided by the system vendor
Adabas infodenotes "adaptable data base"DruidMarkLogicTigerGraph
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
TigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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Adabas infodenotes "adaptable data base"DruidMarkLogicTigerGraph
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