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DBMS > Databend vs. Google Cloud Datastore vs. SAP Adaptive Server vs. SAP SQL Anywhere vs. SingleStore

System Properties Comparison Databend vs. Google Cloud Datastore vs. SAP Adaptive Server vs. SAP SQL Anywhere vs. SingleStore

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSRDBMS 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 modelRelational DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query ServerDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score35.09
Rank#25  Overall
#17  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­datastorewww.sap.com/­products/­technology-platform/­sybase-ase.htmlwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.singlestore.com
Technical documentationdocs.databend.comcloud.google.com/­datastore/­docshelp.sap.com/­docs/­SAP_ASEhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.singlestore.com
DeveloperDatabend LabsGoogleSAP, SybaseSAP infoformerly SybaseSingleStore Inc.
Initial release20212008198719922013
Current release1.0.59, April 202316.017, July 20158.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageRustC and C++C++, Go
Server operating systemshosted
Linux
macOS
hostedAIX
HP-UX
Linux
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux info64 bit version required
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, 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.nononoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)yesyesyes infobut no triggers and foreign keys
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
HTTP API
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Cobol
Java
Java
Perl
PHP
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 proceduresnousing Google App EngineJava and Transact-SQLyes, in C/C++, Java, .Net or Perlyes
TriggersnoCallbacks using the Google Apps Engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosMulti-source replication
Source-replica replication
Source-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 methodsnoyes infousing Google Cloud Dataflownonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
DatabendGoogle Cloud DatastoreSAP Adaptive Server infoformer name: Sybase ASESAP SQL Anywhere infoformerly called Adaptive Server AnywhereSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatabendGoogle Cloud DatastoreSAP Adaptive Server infoformer name: Sybase ASESAP SQL Anywhere infoformerly called Adaptive Server AnywhereSingleStore infoformer name was MemSQL
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