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DBMS > BoltDB vs. Greenplum vs. Hawkular Metrics vs. Microsoft Azure Cosmos DB vs. RocksDB

System Properties Comparison BoltDB vs. Greenplum vs. Hawkular Metrics vs. Microsoft Azure Cosmos DB vs. RocksDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Globally distributed, horizontally scalable, multi-model database serviceEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitegithub.com/­boltdb/­boltgreenplum.orgwww.hawkular.orgazure.microsoft.com/­services/­cosmos-dbrocksdb.org
Technical documentationdocs.greenplum.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidelearn.microsoft.com/­azure/­cosmos-dbgithub.com/­facebook/­rocksdb/­wiki
DeveloperPivotal Software Inc.Community supported by Red HatMicrosoftFacebook, Inc.
Initial release20132005201420142013
Current release7.0.0, September 20239.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
hostedLinux
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes infoJSON typesno
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.noyes infosince Version 4.2nono
Secondary indexesnoyesnoyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoyesnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
HTTP RESTDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
C++ API
Java API
Supported programming languagesGoC
Java
Perl
Python
R
Go
Java
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoJavaScriptno
Triggersnoyesyes infovia Hawkular AlertingJavaScript
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on Cassandrayes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoMulti-item ACID transactions with snapshot isolation within a partitionyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAccess rights can be defined down to the item levelno

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
BoltDBGreenplumHawkular MetricsMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRocksDB
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