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DBMS > Adabas vs. Apache Druid vs. Databricks vs. GigaSpaces vs. TigerGraph

System Properties Comparison Adabas vs. Apache Druid vs. Databricks vs. GigaSpaces vs. TigerGraph

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonGigaSpaces  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 sub-second OLAP queries on high dimensionality and high cardinality dataThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Secondary database modelsGraph DBMS
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DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldruid.apache.orgwww.databricks.comwww.gigaspaces.comwww.tigergraph.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databricks.comdocs.gigaspaces.com/­latest/­landing.htmldocs.tigergraph.com
DeveloperSoftware AGApache Software Foundation and contributorsDatabricksGigaspaces Technologies
Initial release19712012201320002017
Current release29.0.1, April 202415.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
hostedLinux
macOS
Solaris
Windows
Linux
Data schemeyesyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
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 infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL for queryingwith Databricks SQLSQL-99 for query and DML statementsSQL-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
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
.Net
C++
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresin Naturalnouser defined functions and aggregatesyesyes
Triggersnonoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlRole-based access control
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Apache DruidDatabricksGigaSpacesTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Adabas infodenotes "adaptable data base"Apache DruidDatabricksGigaSpacesTigerGraph
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