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DBMS > Alibaba Cloud MaxCompute vs. Badger vs. FileMaker vs. Google Cloud Datastore vs. Rockset

System Properties Comparison Alibaba Cloud MaxCompute vs. Badger vs. FileMaker vs. Google Cloud Datastore vs. Rockset

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value storeRelational DBMSDocument storeDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­dgraph-io/­badgerwww.claris.com/­filemakercloud.google.com/­datastorerockset.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsdocs.rockset.com
DeveloperAlibabaDGraph LabsClaris infoa subsidiary of AppleGoogleRockset
Initial release20162017198320082019
Current release19.4.1, November 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedhosted
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes, details heredynamic typing
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.nonoyes infoA http query request can return the data in XML formatnono infoingestion from XML files supported
Secondary indexesnonoyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenoyes infovia pluginsSQL-like query language (GQL)Read-only SQL queries, including JOINs
APIs and other access methodsFluentd
Flume
MaxCompute Console
Filemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesJavaGoPHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyesusing Google App Engineno
TriggersnonoyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneSource-replica replication, warm standby infosince Version 14Multi-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate 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.Eventual Consistency
Foreign keys infoReferential integritynonoyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and rolesnosimple rights management via user accounts and connection to external directory servicesAccess 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 console

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More resources
Alibaba Cloud MaxComputeBadgerFileMakerGoogle Cloud DatastoreRockset
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