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DBMS > Alibaba Cloud MaxCompute vs. Apache IoTDB vs. Badger vs. FileMaker vs. Rockset

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache IoTDB vs. Badger vs. FileMaker vs. Rockset

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache IoTDB  Xexclude from comparisonBadger  Xexclude from comparisonFileMaker  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 IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A 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 tablesTime Series DBMSKey-value storeRelational DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score0.20
Rank#325  Overall
#49  Key-value stores
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Websitewww.alibabacloud.com/­product/­maxcomputeiotdb.apache.orggithub.com/­dgraph-io/­badgerwww.claris.com/­filemakerrockset.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationdocs.rockset.com
DeveloperAlibabaApache Software FoundationDGraph LabsClaris infoa subsidiary of AppleRockset
Initial release20162018201719832019
Current release1.1.0, April 202319.4.1, November 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemshostedAll OS with a Java VM (>= 1.8)BSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
hosted
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesdynamic 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.nononoyes infoA http query request can return the data in XML formatno infoingestion from XML files supported
Secondary indexesnoyesnoyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenoyes infovia pluginsRead-only SQL queries, including JOINs
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
Native API
Filemaker WebDirect
JDBC
ODBC
HTTP REST
Supported programming languagesJavaC
C#
C++
Go
Java
Python
Scala
GoPHPGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayesnoyesno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneSource-replica replication, warm standby infosince Version 14yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
noneEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
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.noyesno
User concepts infoAccess controlAccess rights for users and rolesyesnosimple rights management via user accounts and connection to external directory servicesAccess rights for users and organizations can be defined via Rockset console

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More resources
Alibaba Cloud MaxComputeApache IoTDBBadgerFileMakerRockset
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