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DBMS > Adabas vs. Apache Druid vs. Apache Impala vs. InfinityDB vs. LevelDB

System Properties Comparison Adabas vs. Apache Druid vs. Apache Impala vs. InfinityDB vs. LevelDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonInfinityDB  Xexclude from comparisonLevelDB  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 dataAnalytic DBMS for HadoopA Java embedded Key-Value Store which extends the Java Map interfaceEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldruid.apache.orgimpala.apache.orgboilerbay.comgithub.com/­google/­leveldb
Technical documentationdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.htmlboilerbay.com/­infinitydb/­manualgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperSoftware AGApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaBoiler Bay Inc.Google
Initial release19712012201320022011
Current release29.0.1, April 20244.1.0, June 20224.01.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
LinuxAll OS with a Java VMIllumos
Linux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysno
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.nonononono
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL for queryingSQL-like DML and DDL statementsnono
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
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCJavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresin Naturalnoyes infouser defined functions and integration of map-reducenono
Triggersnonononono
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-basedShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
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 systemAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnono

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More resources
Adabas infodenotes "adaptable data base"Apache DruidApache ImpalaInfinityDBLevelDB
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