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DBMS > Google BigQuery vs. HarperDB vs. Netezza vs. OrigoDB

System Properties Comparison Google BigQuery vs. HarperDB vs. Netezza vs. OrigoDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHarperDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Data warehouse and analytics appliance part of IBM PureSystemsA fully ACID in-memory object graph database
Primary database modelRelational DBMSDocument storeRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitecloud.google.com/­bigquerywww.harperdb.iowww.ibm.com/­products/­netezzaorigodb.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.harperdb.io/­docsorigodb.com/­docs
DeveloperGoogleHarperDBIBMRobert Friberg et al
Initial release2010201720002009 infounder the name LiveDB
Current release3.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC#
Server operating systemshostedLinux
OS X
Linux infoincluded in applianceLinux
Windows
Data schemeyesdynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesUser defined using .NET types and collections
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.nonono infocan be achieved using .NET
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsyesno
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.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
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptCustom Functions infosince release 3.1yesyes
Triggersnononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and rolesUsers with fine-grained authorization conceptRole based authorization

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More resources
Google BigQueryHarperDBNetezza infoAlso called PureData System for Analytics by IBMOrigoDB
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