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DBMS > Google Cloud Bigtable vs. HarperDB vs. Postgres-XL vs. SQL.JS

System Properties Comparison Google Cloud Bigtable vs. HarperDB vs. Postgres-XL vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSQL.JS  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.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresPort of SQLite to JavaScript
Primary database modelKey-value store
Wide column store
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.55
Rank#243  Overall
#38  Document stores
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score0.53
Rank#246  Overall
#115  Relational DBMS
Websitecloud.google.com/­bigtablewww.harperdb.iowww.postgres-xl.orgsql.js.org
Technical documentationcloud.google.com/­bigtable/­docsdocs.harperdb.io/­docswww.postgres-xl.org/­documentationsql.js.org/­documentation/­index.html
DeveloperGoogleHarperDBAlon Zakai infoenhancements implemented by others
Initial release201520172014 infosince 2012, originally named StormDB2012
Current release3.1, August 202110 R1, October 2018
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoMozilla public licenseOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsCJavaScript
Server operating systemshostedLinux
OS X
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freedynamic schemayesyes
Typing infopredefined data types such as float or datenoyes infoJSON data typesyesyes
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyes infodistributed, parallel query executionyes infoSQL-92 is not fully supported
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JavaScript 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++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1user defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioningnone
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 definednone
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 Consistencynone
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic execution of specific operationsACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
Google Cloud BigtableHarperDBPostgres-XLSQL.JS
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