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DBMS > Google Cloud Datastore vs. GreptimeDB vs. MaxDB vs. Netezza

System Properties Comparison Google Cloud Datastore vs. GreptimeDB vs. MaxDB vs. Netezza

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA robust and reliable RDBMS optimized to run all major SAP solutionsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitecloud.google.com/­datastoregreptime.commaxdb.sap.comwww.ibm.com/­products/­netezza
Technical documentationcloud.google.com/­datastore/­docsdocs.greptime.commaxdb.sap.com/­documentation
DeveloperGoogleGreptime Inc.SAP, acquired from Software AG (Adabas-D) in 1997IBM
Initial release2008202219842000
Current release7.9.10.12, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux infoincluded in appliance
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesyesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
.Net
C#
Java
Perl
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresusing Google App EnginePythonyesyes
TriggersCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
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.nono
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 authorization concept
More information provided by the system vendor
Google Cloud DatastoreGreptimeDBMaxDB infoformerly named Adabas-DNetezza infoAlso called PureData System for Analytics by IBM
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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More resources
Google Cloud DatastoreGreptimeDBMaxDB infoformerly named Adabas-DNetezza infoAlso called PureData System for Analytics by IBM
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