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DBMS > Alibaba Cloud MaxCompute vs. Badger vs. Brytlyt vs. Cloudflare Workers KV vs. DolphinDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Badger vs. Brytlyt vs. Cloudflare Workers KV vs. DolphinDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDolphinDB  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.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value storeRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
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
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­dgraph-io/­badgerbrytlyt.iowww.cloudflare.com/­developer-platform/­workers-kvwww.dolphindb.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iodevelopers.cloudflare.com/­kv/­apidocs.dolphindb.cn/­en/­help200/­index.html
DeveloperAlibabaDGraph LabsBrytlytCloudflareDolphinDB, Inc
Initial release20162017201620182018
Current release5.0, August 2023v2.00.4, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial infofree community version available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++ and CUDAC++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
hostedLinux
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyesnoSQL-like query language
APIs and other access methodsFluentd
Flume
MaxCompute Console
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Proprietary protocol
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Supported programming languagesJavaGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functions infoin PL/pgSQLnoyes
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoyes
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.nononoyes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardAdministrators, Users, Groups

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More resources
Alibaba Cloud MaxComputeBadgerBrytlytCloudflare Workers KVDolphinDB
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