DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Redshift vs. BigObject vs. Firebird vs. Google BigQuery

System Properties Comparison Amazon Redshift vs. BigObject vs. Firebird vs. Google BigQuery

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBigObject  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for real-time computations and queriesFirebird is an open source RDBMS forked from Borland's InterBaseLarge scale data warehouse service with append-only tables
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Websiteaws.amazon.com/­redshiftbigobject.iowww.firebirdsql.orgcloud.google.com/­bigquery
Technical documentationdocs.aws.amazon.com/­redshiftdocs.bigobject.iowww.firebirdsql.org/­en/­reference-manualscloud.google.com/­bigquery/­docs
DeveloperAmazon (based on PostgreSQL)BigObject, Inc.Firebird FoundationGoogle
Initial release201220152000 infoAs fork of Borland's InterBase2010
Current release5.0.0, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoInitial Developer's Public Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesrestrictedyesyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PythonLuaPSQLuser defined functions infoin JavaScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization conceptAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftBigObjectFirebirdGoogle BigQuery
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Revolutionizing data querying: Amazon Redshift and Visual Studio Code integration | Amazon Web Services
2 May 2024, AWS Blog

Amazon Redshift adds new AI capabilities, including Amazon Q, to boost efficiency and productivity | Amazon Web ...
29 November 2023, AWS Blog

Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK ...
11 March 2024, AWS Blog

Amazon Aurora MySQL zero-ETL integration with Amazon Redshift is now generally available | Amazon Web Services
7 November 2023, AWS Blog

Power analytics as a service capabilities using Amazon Redshift | Amazon Web Services
17 April 2024, AWS Blog

provided by Google News

12 Top Open Source Databases to Consider
1 May 2024, TechTarget

DoNot Team's New Firebird Backdoor Hits Pakistan and Afghanistan
23 October 2023, The Hacker News

FIREBIRD'S HUBBARD TALKS DATA, AI, TIKTOK
14 December 2023, HITS Daily Double

Firebird - Analyst, Digital Marketing (US)
23 February 2024, Music Business Worldwide

Exploring the Firebird Database
9 August 2023, Open Source For You

provided by Google News

Winning the 2020 Google Cloud Technology Partner of the Year – Infrastructure Modernization Award
22 December 2021, CIO

Google Cloud partners Coinbase to accept crypto payments
11 October 2022, Ledger Insights

Hightouch Announces $38M in Funding and Launches New Customer 360 Toolkit
20 July 2023, Datanami

Hightouch Raises $38M in Funding
19 July 2023, FinSMEs

Google Cloud Platform breaks through with big enterprises, signs up Disney and others
23 March 2016, ZDNet

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here