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DBMS > Blueflood vs. Elasticsearch vs. EXASOL vs. OrigoDB vs. PlanetScale

System Properties Comparison Blueflood vs. Elasticsearch vs. EXASOL vs. OrigoDB vs. PlanetScale

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonElasticsearch  Xexclude from comparisonEXASOL  Xexclude from comparisonOrigoDB  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA 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 metricHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A fully ACID in-memory object graph databaseScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelTime Series DBMSSearch engineRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websiteblueflood.iowww.elastic.co/­elasticsearchwww.exasol.comorigodb.complanetscale.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.exasol.com/­resourcesorigodb.com/­docsplanetscale.com/­docs
DeveloperRackspaceElasticExasolRobert Friberg et alPlanetScale
Initial release2013201020002009 infounder the name LiveDB2020
Current release8.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic LicensecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#Go
Server operating systemsLinux
OS X
All OS with a Java VMLinux
Windows
Docker
Linux
macOS
Data schemepredefined schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NET
Secondary indexesnoyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesnoyes infowith proprietary extensions
APIs and other access methodsHTTP RESTJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Lua
Python
R
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functionsyesyes infoproprietary syntax
Triggersnoyes infoby using the 'percolation' featureyesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesdepending on modelyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardRole based authorizationUsers with fine-grained authorization concept infono user groups or roles

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More resources
BluefloodElasticsearchEXASOLOrigoDBPlanetScale
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