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DBMS > Blueflood vs. CrateDB vs. LevelDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Blueflood vs. CrateDB vs. LevelDB vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCrateDB  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraDistributed Date Store based on LuceneEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database service
Primary database modelTime Series DBMSRelational DBMS
Search engine
Key-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#308  Overall
#26  Time Series DBMS
Score0.92
Rank#180  Overall
#87  Relational DBMS
#11  Search engines
Score2.90
Rank#98  Overall
#17  Key-value stores
Score40.29
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteblueflood.iocrate.iogithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-db
Technical documentationgithub.com/­rackerlabs/­blueflood/­wikicrate.io/­docsgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.microsoft.com/­azure/­cosmos-db
DeveloperRackspaceCrateGoogleMicrosoft
Initial release2013201320112014
Current release1.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
All OS with a Java 7 (and higher) VMIllumos
Linux
OS X
Windows
hosted
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infoJSON types
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.nonono
Secondary indexesnoyesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoyes, but no triggers and constraintsnoSQL-like query language
APIs and other access methodsHTTP RESTADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnouser defined functionsnoJavaScript
TriggersnononoJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factornoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynononono
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 strategynoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnorights management via user accountsnoAccess rights can be defined down to the item level
More information provided by the system vendor
BluefloodCrateDBLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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BluefloodCrateDBLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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