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DBMS > Axibase vs. FeatureBase vs. Google BigQuery vs. PostgreSQL

System Properties Comparison Axibase vs. FeatureBase vs. Google BigQuery vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonFeatureBase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Large scale data warehouse service with append-only tablesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.featurebase.comcloud.google.com/­bigquerywww.postgresql.org
Technical documentationdocs.featurebase.comcloud.google.com/­bigquery/­docswww.postgresql.org/­docs
DeveloperAxibase CorporationMolecula and Pilosa Open Source ContributorsGooglePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2013201720101989 info1989: Postgres, 1996: PostgreSQL
Current release155852022, May 202216.3, May 2024
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC
Server operating systemsLinuxLinux
macOS
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnononoyes
SQL infoSupport of SQLSQL-like query languageSQL queriesyesyes infostandard with numerous extensions
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Java
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
AxibaseFeatureBaseGoogle BigQueryPostgreSQL
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