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DBMS > BoltDB vs. Google BigQuery vs. Hawkular Metrics vs. HBase vs. RocksDB

System Properties Comparison BoltDB vs. Google BigQuery vs. Hawkular Metrics vs. HBase vs. RocksDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Large scale data warehouse service with append-only tablesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeRelational DBMSTime Series DBMSWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitegithub.com/­boltdb/­boltcloud.google.com/­bigquerywww.hawkular.orghbase.apache.orgrocksdb.org
Technical documentationcloud.google.com/­bigquery/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetFacebook, Inc.
Initial release20132010201420082013
Current release2.3.4, January 20218.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeyesschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenoyesyesoptions to bring your own types, AVROno
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.nonononono
Secondary indexesnonononono
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsRESTful HTTP/JSON APIHTTP RESTJava API
RESTful HTTP API
Thrift
C++ API
Java API
Supported programming languagesGo.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnoyes infoCoprocessors in Javano
Triggersnonoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on CassandraShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying datanoSingle row ACID (across millions of columns)yes
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.nononoyesyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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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
BoltDBGoogle BigQueryHawkular MetricsHBaseRocksDB
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