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DBMS > Brytlyt vs. Hawkular Metrics vs. LevelDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Brytlyt vs. Hawkular Metrics vs. LevelDB vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable 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 modelRelational DBMSTime Series DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#269  Overall
#125  Relational DBMS
Score0.02
Rank#340  Overall
#30  Time Series DBMS
Score3.06
Rank#101  Overall
#18  Key-value stores
Score40.22
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.brytlyt.comwww.hawkular.orggithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-db
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.microsoft.com/­azure/­cosmos-db
DeveloperBrytlytCommunity supported by Red HatGoogleMicrosoft
Initial release2016201420112014
Current release0.9, October 20161.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAJavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
hosted
Data schemeyesschema-freeschema-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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnonoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
Python
Ruby
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 proceduresuser defined functions infoin PL/pgSQLnonoJavaScript
Triggersyesyes infovia Hawkular AlertingnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandranoneyes 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 systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoMulti-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.no
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights can be defined down to the item level

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BrytlytHawkular MetricsLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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