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DBMS > Blueflood vs. CrateDB vs. GeoMesa vs. LokiJS vs. Sadas Engine

System Properties Comparison Blueflood vs. CrateDB vs. GeoMesa vs. LokiJS vs. Sadas Engine

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCrateDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonLokiJS  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraDistributed Database based on LuceneGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.In-memory JavaScript DBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelTime Series DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Spatial DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#353  Overall
#33  Time Series DBMS
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score0.48
Rank#262  Overall
#42  Document stores
Score0.03
Rank#379  Overall
#156  Relational DBMS
Websiteblueflood.iocratedb.comwww.geomesa.orggithub.com/­techfort/­LokiJSwww.sadasengine.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicratedb.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmltechfort.github.io/­LokiJSwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperRackspaceCrateCCRi and othersSADAS s.r.l.
Initial release20132013201420142006
Current release4.0.5, February 20248.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache License 2.0Open Sourcecommercial infofree trial version available
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJavaScalaJavaScriptC++
Server operating systemsLinux
OS X
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportserver-less, requires a JavaScript environment (browser, Node.js)AIX
Linux
Windows
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesnoyesyesyes infovia viewsyes
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitynonoyes
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JavaScript APIJDBC
ODBC
Proprietary protocol
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions (Javascript)noView functions in JavaScriptno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingdepending on storage layernonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraConfigurable replication on table/partition-leveldepending on storage layernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Read-after-write consistency on record level
depending on storage layernoneImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategynono infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonodepending on storage layeryesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnorights management via user accountsyes infodepending on the DBMS used for storagenoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
BluefloodCrateDBGeoMesaLokiJSSadas Engine
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
BluefloodCrateDBGeoMesaLokiJSSadas Engine
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