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DBMS > Drizzle vs. Elasticsearch vs. KeyDB vs. Teradata Aster

System Properties Comparison Drizzle vs. Elasticsearch vs. KeyDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonElasticsearch  Xexclude from comparisonKeyDB  Xexclude from comparisonTeradata Aster  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.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSSearch engineKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitewww.elastic.co/­elasticsearchgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.keydb.dev
DeveloperDrizzle project, originally started by Brian AkerElasticEQ Alpha Technology Ltd.Teradata
Initial release2008201020192005
Current release7.2.4, September 20128.6, January 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoElastic LicenseOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMLinuxLinux
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nonoyes infoin Aster File Store
Secondary indexesyesyes infoAll search fields are automatically indexedyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query languagenoyes
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Java
PHP
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
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
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesLuaR packages
Triggersno infohooks for callbacks inside the server can be used.yes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPsimple password-based access control and ACLfine grained access rights according to SQL-standard

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More resources
DrizzleElasticsearchKeyDBTeradata Aster
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