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DBMS > IBM Db2 vs. KeyDB vs. LevelDB vs. openGemini vs. Vertica

System Properties Comparison IBM Db2 vs. KeyDB vs. LevelDB vs. openGemini vs. Vertica

Editorial information provided by DB-Engines
NameIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonKeyDB  Xexclude from comparisonLevelDB  Xexclude from comparisonopenGemini  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionCommon in IBM host environments, 2 different versions for host and Windows/LinuxAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value storeKey-value storeTime Series DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.ibm.com/­products/­db2github.com/­Snapchat/­KeyDB
keydb.dev
github.com/­google/­leveldbwww.opengemini.org
github.com/­openGemini
www.vertica.com
Technical documentationwww.ibm.com/­docs/­en/­db2docs.keydb.devgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.opengemini.org/­guidevertica.com/­documentation
DeveloperIBMEQ Alpha Technology Ltd.GoogleHuawei and openGemini communityOpenText infopreviously Micro Focus and Hewlett Packard
Initial release1983 infohost version2019201120222005
Current release12.1, October 20161.23, February 20211.1, July 202312.0.3, January 2023
License infoCommercial or Open Sourcecommercial infofree version is availableOpen Source infoBSD-3Open Source infoBSDOpen Source infoApache Version 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C++GoC++
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
LinuxIllumos
Linux
OS X
Windows
Linux
Windows
Linux
Data schemeyesschema-freeschema-freeschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnoInteger, Float, Boolean, Stringyes
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.nononono
Secondary indexesyesyes infoby using the Redis Search modulenoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesnonoSQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP RESTADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesLuanonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnononoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionShardingnoneShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)Multi-source replication
Source-replica replication
noneyesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access control and ACLnoAdministrators and common users accountsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
IBM Db2 infoformerly named DB2 or IBM Database 2KeyDBLevelDBopenGeminiVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
IBM Db2 infoformerly named DB2 or IBM Database 2KeyDBLevelDBopenGeminiVertica infoOpenText™ Vertica™
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