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DBMS > Google Cloud Bigtable vs. HEAVY.AI vs. OpenTSDB vs. Riak KV

System Properties Comparison Google Cloud Bigtable vs. HEAVY.AI vs. OpenTSDB vs. Riak KV

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenTSDB  Xexclude from comparisonRiak KV  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareScalable Time Series DBMS based on HBaseDistributed, fault tolerant key-value store
Primary database modelKey-value store
Wide column store
Relational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitecloud.google.com/­bigtablegithub.com/­heavyai/­heavydb
www.heavy.ai
opentsdb.net
Technical documentationcloud.google.com/­bigtable/­docsdocs.heavy.aiopentsdb.net/­docs/­build/­html/­index.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogleHEAVY.AI, Inc.currently maintained by Yahoo and other contributorsOpenSource, formerly Basho Technologies
Initial release2015201620112009
Current release5.10, January 20223.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoLGPLOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAJavaErlang
Server operating systemshostedLinuxLinux
Windows
Linux
OS X
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnumeric 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 indexesnononorestricted
SQL infoSupport of SQLnoyesnono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
Vega
HTTP API
Telnet API
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
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 proceduresnononoErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding infobased on HBaseSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationselectable replication factor infobased on HBaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency infobased on HBaseEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonono
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoyes, using Riak Security

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More resources
Google Cloud BigtableHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenTSDBRiak KV
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