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

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

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonElasticsearch  Xexclude from comparisonEXASOL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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 databaseAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSSearch engineRelational DBMSDocument store
Object oriented DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
Vector 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
Websiteblueflood.iowww.elastic.co/­elasticsearchwww.exasol.comorigodb.comsqrrl.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.exasol.com/­resourcesorigodb.com/­docs
DeveloperRackspaceElasticExasolRobert Friberg et alAmazon infooriginally Sqrrl Data, Inc.
Initial release2013201020002009 infounder the name LiveDB2012
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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#Java
Server operating systemsLinux
OS X
All OS with a Java VMLinux
Windows
Linux
Data schemepredefined schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free
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 languageyesnono
APIs and other access methodsHTTP RESTJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
.NET Client API
HTTP API
LINQ
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Lua
Python
R
.NetActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesuser defined functionsyesno
Triggersnoyes infoby using the 'percolation' featureyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infoHadoop integrationnoyes
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 ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 integrationyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardRole based authorizationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BluefloodElasticsearchEXASOLOrigoDBSqrrl
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