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DBMS > Google BigQuery vs. Hypertable vs. SAP HANA vs. VictoriaMetrics

System Properties Comparison Google BigQuery vs. Hypertable vs. SAP HANA vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHypertable  Xexclude from comparisonSAP HANA  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service with append-only tablesAn open source BigTable implementation based on distributed file systems such as HadoopIn-memory, column based data store. Available as appliance or cloud serviceA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitecloud.google.com/­bigquerywww.sap.com/­products/­hana.htmlvictoriametrics.com
Technical documentationcloud.google.com/­bigquery/­docshelp.sap.com/­hanadocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGoogleHypertable Inc.SAPVictoriaMetrics
Initial release2010200920102018
Current release0.9.8.11, March 20162.0 SPS07 (April 4, 2023), April 2023v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Appliance or cloud-serviceFreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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
Secondary indexesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsRESTful HTTP/JSON APIC++ API
Thrift
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoSQLScript, Rno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDno
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 privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noyes

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Google BigQueryHypertableSAP HANAVictoriaMetrics
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