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DBMS > Google Cloud Bigtable vs. HarperDB vs. Sadas Engine vs. SiriDB

System Properties Comparison Google Cloud Bigtable vs. HarperDB vs. Sadas Engine vs. SiriDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  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 distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsOpen Source Time Series DBMS
Primary database modelWide column storeDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.63
Rank#89  Overall
#8  Wide column stores
Score0.59
Rank#224  Overall
#34  Document stores
Score0.04
Rank#329  Overall
#142  Relational DBMS
Score0.01
Rank#347  Overall
#35  Time Series DBMS
Websitecloud.google.com/­bigtableharperdb.iowww.sadasengine.comsiridb.net
Technical documentationcloud.google.com/­bigtable/­docsharperdb.io/­developers/­documentation/­overviewwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.siridb.net
DeveloperGoogleHarperDBSADAS s.r.l.Transceptor Technology
Initial release2015201720062017
Current release3.1, August 20218.0
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infofree trial version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
HarperDB Cloud: Get To Market Faster, For Less Money Using Our Built-in API.
Implementation languageNode.jsC++C
Server operating systemshostedLinux
OS X
AIX
Linux
Windows
Linux
Data schemeschema-freedynamic schemayesyes
Typing infopredefined data types such as float or datenoyes infoJSON data typesyesyes infoNumeric data
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Proprietary protocol
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infothe nodes on which a table resides can be definednoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts
More information provided by the system vendor
Google Cloud BigtableHarperDBSadas EngineSiriDB
Specific characteristicsHarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more
Competitive advantagesBy combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more
Typical application scenariosUse cases where HarperDB is a better fit than other solutions include: Rapid app...
» more
Key customersA few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more
Market metrics6,800 + npm downloads 1,600 + on Docker Hub 2,600 + cloud & local signups
» more
Licensing and pricing modelsHarperDB follows a freemium/premium model . A database is only as powerful as it...
» more

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More resources
Google Cloud BigtableHarperDBSadas EngineSiriDB
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