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DBMS > Google Cloud Bigtable vs. GreptimeDB vs. HyperSQL vs. Informix

System Properties Comparison Google Cloud Bigtable vs. GreptimeDB vs. HyperSQL vs. Informix

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInformix  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source Time Series DBMS built for increased scalability, high performance and efficiencyMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database modelKey-value store
Wide column store
Time Series DBMSRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDB
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Websitecloud.google.com/­bigtablegreptime.comhsqldb.orgwww.ibm.com/­products/­informix
Technical documentationcloud.google.com/­bigtable/­docsdocs.greptime.comhsqldb.org/­web/­hsqlDocsFrame.htmlinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperGoogleGreptime Inc.IBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release2015202220011984
Current release2.7.2, June 202314.10.FC5, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infobased on BSD licensecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaC, C++ and Java
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenoyesyesyes infoSince Version 12.10 support for JSON/BSON datatypes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP API
JDBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC
Java
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoPythonJava, SQLyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Simple rights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authentication, authorization, and auditing controls
More information provided by the system vendor
Google Cloud BigtableGreptimeDBHyperSQL infoalso known as HSQLDBInformix
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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Google Cloud BigtableGreptimeDBHyperSQL infoalso known as HSQLDBInformix
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