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DBMS > Google Cloud Datastore vs. QuestDB vs. Rockset vs. SAP SQL Anywhere vs. SingleStore

System Properties Comparison Google Cloud Datastore vs. QuestDB vs. Rockset vs. SAP SQL Anywhere vs. SingleStore

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonQuestDB  Xexclude from comparisonRockset  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high performance open source SQL database for time series dataA scalable, reliable search and analytics service in the cloud, built on RocksDBRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument storeTime Series DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Score3.50
Rank#81  Overall
#44  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitecloud.google.com/­datastorequestdb.iorockset.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.singlestore.com
Technical documentationcloud.google.com/­datastore/­docsquestdb.io/­docsdocs.rockset.comhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.singlestore.com
DeveloperGoogleQuestDB Technology IncRocksetSAP infoformerly SybaseSingleStore Inc.
Initial release20082014201919922013
Current release17, July 20158.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, RustC++C++, Go
Server operating systemshostedLinux
macOS
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux info64 bit version required
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesdynamic typingyesyes
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 infoingestion from XML files supportedyesno
Secondary indexesyesnoall fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL with time-series extensionsRead-only SQL queries, including JOINsyesyes infobut no triggers and foreign keys
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP RESTADO.NET
HTTP API
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresusing Google App Enginenonoyes, in C/C++, Java, .Net or Perlyes
TriggersCallbacks using the Google Apps Enginenonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Automatic shardingnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replication with eventual consistencyyesSource-replica replication infoDatabase mirroringSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono infocan define user-defined aggregate functions for map-reduce-style calculations
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 ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID for single-table writesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
Google Cloud DatastoreQuestDBRocksetSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSingleStore infoformer name was MemSQL
News

Combine Java and Rust Code Coverage in a Polyglot Project
10 September 2024

Weather data visualization and forecasting with QuestDB, Kafka and Grafana
4 September 2024

Building a new vector based storage model
22 August 2024

Calibrating VWAP executions with QuestDB and Grafana
16 August 2024

Write Time: a call for community writers
13 August 2024

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More resources
Google Cloud DatastoreQuestDBRocksetSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSingleStore infoformer name was MemSQL
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SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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