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DBMS > Dolt vs. Google Cloud Bigtable vs. Hawkular Metrics vs. Prometheus

System Properties Comparison Dolt vs. Google Cloud Bigtable vs. Hawkular Metrics vs. Prometheus

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
cloud.google.com/­bigtablewww.hawkular.orgprometheus.io
Technical documentationdocs.dolthub.comcloud.google.com/­bigtable/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docs
DeveloperDoltHub IncGoogleCommunity supported by Red Hat
Initial release2018201520142015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaGo
Server operating systemsLinux
macOS
Windows
hostedLinux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesnonono
SQL infoSupport of SQLyesnonono
APIs and other access methodsCLI Client
HTTP REST
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP RESTRESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenonono
Triggersyesnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Internal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on Cassandrayes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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More resources
DoltGoogle Cloud BigtableHawkular MetricsPrometheus
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