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DBMS > Drizzle vs. Elasticsearch vs. Google Cloud Bigtable vs. Oracle Rdb vs. Sequoiadb

System Properties Comparison Drizzle vs. Elasticsearch vs. Google Cloud Bigtable vs. Oracle Rdb vs. Sequoiadb

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonElasticsearch  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSequoiadb  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.
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 metricGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.NewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSSearch engineKey-value store
Wide column store
Relational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.78
Rank#7  Overall
#1  Search engines
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websitewww.elastic.co/­elasticsearchcloud.google.com/­bigtablewww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.sequoiadb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­bigtable/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDrizzle project, originally started by Brian AkerElasticGoogleOracle, originally developed by Digital Equipment Corporation (DEC)Sequoiadb Ltd.
Initial release20082010201519842013
Current release7.2.4, September 20128.6, January 20237.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoElastic LicensecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMhostedHP Open VMSLinux
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes infooid, date, timestamp, binary, regex
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 infoAll search fields are automatically indexednoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query languagenoyesSQL-like query language
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
proprietary protocol using JSON
Supported programming languagesC
C++
Java
PHP
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesnoJavaScript
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
yesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesnono
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, allImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsyes, on a single nodeDocument is locked during a transaction
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.Memcached and Redis integrationnonono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control

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More resources
DrizzleElasticsearchGoogle Cloud BigtableOracle RdbSequoiadb
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