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DBMS > 4D vs. EDB Postgres vs. Google Cloud Bigtable vs. QuestDB

System Properties Comparison 4D vs. EDB Postgres vs. Google Cloud Bigtable vs. QuestDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.4d.comwww.enterprisedb.comcloud.google.com/­bigtablequestdb.io
Technical documentationdeveloper.4d.comwww.enterprisedb.com/­docscloud.google.com/­bigtable/­docsquestdb.io/­docs
Developer4D, IncEnterpriseDBGoogleQuestDB Technology Inc
Initial release1984200520152014
Current releasev20, April 202314, December 2021
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentscommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava (Zero-GC), C++, Rust
Server operating systemsOS X
Windows
Linux
Windows
hostedLinux
macOS
Windows
Data schemeyesyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92yes infostandard with numerous extensionsnoSQL with time-series extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages4D proprietary IDE
PHP
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangeShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.nononoyes infothrough memory mapped files
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
4D infoformer name: 4th DimensionEDB PostgresGoogle Cloud BigtableQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
4D infoformer name: 4th DimensionEDB PostgresGoogle Cloud BigtableQuestDB
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