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DBMS > BoltDB vs. Google BigQuery vs. Hypertable vs. OpenTSDB vs. Riak KV

System Properties Comparison BoltDB vs. Google BigQuery vs. Hypertable vs. OpenTSDB vs. Riak KV

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHypertable  Xexclude from comparisonOpenTSDB  Xexclude from comparisonRiak KV  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.Large scale data warehouse service with append-only tablesAn open source BigTable implementation based on distributed file systems such as HadoopScalable Time Series DBMS based on HBaseDistributed, fault tolerant key-value store
Primary database modelKey-value storeRelational DBMSWide column storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitegithub.com/­boltdb/­boltcloud.google.com/­bigqueryopentsdb.net
Technical documentationcloud.google.com/­bigquery/­docsopentsdb.net/­docs/­build/­html/­index.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogleHypertable Inc.currently maintained by Yahoo and other contributorsOpenSource, formerly Basho Technologies
Initial release20132010200920112009
Current release0.9.8.11, March 20163.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoLGPLOpen Source infoApache version 2, commercial enterprise edition
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 languageGoC++JavaErlang
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Linux
OS X
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnonumeric data for metrics, strings for tagsno
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 indexesnonorestricted infoonly exact value or prefix value scansnorestricted
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsRESTful HTTP/JSON APIC++ API
Thrift
HTTP API
Telnet API
HTTP API
Native Erlang Interface
Supported programming languagesGo.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnonoErlang
Triggersnonononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infobased on HBaseSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelselectable replication factor infobased on HBaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBaseEventual Consistency
Foreign keys infoReferential integritynonononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying datanonono
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.nonono
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nonoyes, using Riak Security

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More resources
BoltDBGoogle BigQueryHypertableOpenTSDBRiak KV
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