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DBMS > Google Cloud Bigtable vs. Graphite vs. Hawkular Metrics vs. Lovefield vs. MonetDB

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. Hawkular Metrics vs. Lovefield vs. MonetDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLovefield  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable relational database for web apps written in pure JavaScriptA relational database management system that stores data in columns
Primary database modelKey-value store
Wide column store
Time Series DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.hawkular.orggoogle.github.io/­lovefieldwww.monetdb.org
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.monetdb.org/­Documentation
DeveloperGoogleChris DavisCommunity supported by Red HatGoogleMonetDB BV
Initial release20152006201420142004
Current release2.1.12, February 2017Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaJavaScriptC
Server operating systemshostedLinux
Unix
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoNumeric data onlyyesyesyes
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
Secondary indexesnononoyesyes
SQL infoSupport of SQLnononoSQL-like query language infovia JavaScript builder patternyes infoSQL 2003 with some extensions
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP RESTJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonononoyes, in SQL, C, R
Triggersnonoyes infovia Hawkular AlertingUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on CassandranoneSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneselectable replication factor infobased on Cassandranonenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nononofine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableGraphiteHawkular MetricsLovefieldMonetDB
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