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DBMS > Adabas vs. Apache IoTDB vs. Drizzle vs. Hive vs. Nebula Graph

System Properties Comparison Adabas vs. Apache IoTDB vs. Drizzle vs. Hive vs. Nebula Graph

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHive  Xexclude from comparisonNebula Graph  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelMultivalue DBMSTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.74
Rank#77  Overall
#1  Multivalue DBMS
Score0.42
Rank#251  Overall
#20  Time Series DBMS
Score83.45
Rank#15  Overall
#10  Relational DBMS
Score1.14
Rank#164  Overall
#15  Graph DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmliotdb.apache.orghive.apache.orggithub.com/­vesoft-inc/­nebula
nebula-graph.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.nebula-graph.io
DeveloperSoftware AGApache Software FoundationDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookVesoft Inc.
Initial release19712018200820122019
Current release7.2.4, September 20123.1.2, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache Version 2Open Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
All OS with a Java VMLinux
Data schemeyesyesyesyesStrong typed schema
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languageyes infowith proprietary extensionsSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCJDBCJDBC
ODBC
Thrift
Browser interface
console (shell)
Proprietary native API
Query language nGQL
Supported programming languagesNaturalC
C++
Java
PHP
C++
Java
PHP
Python
C++
Go
Java
Python
Server-side scripts infoStored proceduresin Naturalnonoyes infouser defined functions and integration of map-reduce
Triggersnonono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication
Source-replica replication
selectable replication factorCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency with synchronizing with the cloudEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesRole-based access control
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Apache IoTDBDrizzleHiveNebula Graph
News

How to compute the Betweenness Centrality against Nebula Graph
17 December 2021

How to Perform Load Testing against Nebula Graph with K6
1 December 2021

How to Select a Graph Database: Best Practices at RoyalFlush
17 November 2021

Nebula Hackathon 2021 is live now!
16 November 2021

Nebula Graph v2.6.0 Performance Report
12 November 2021

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More resources
Adabas infodenotes "adaptable data base"Apache IoTDBDrizzleHiveNebula Graph
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