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DBMS > Alibaba Cloud MaxCompute vs. Apache IoTDB vs. EJDB vs. Hawkular Metrics vs. Hypertable

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache IoTDB vs. EJDB vs. Hawkular Metrics vs. Hypertable

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache IoTDB  Xexclude from comparisonEJDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 FlinkEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSDocument storeTime Series DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeiotdb.apache.orggithub.com/­Softmotions/­ejdbwww.hawkular.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAlibabaApache Software FoundationSoftmotionsCommunity supported by Red HatHypertable Inc.
Initial release20162018201220142009
Current release1.1.0, April 20230.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPLv2Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaC++
Server operating systemshostedAll OS with a Java VM (>= 1.8)server-lessLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyesno
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
Secondary indexesnoyesnonorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenonono
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
Native API
in-process shared libraryHTTP RESTC++ API
Thrift
Supported programming languagesJavaC
C#
C++
Go
Java
Python
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javayesnonono
Triggersnoyesnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infobased on CassandraSharding
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 replicasnoneselectable replication factor infobased on Cassandraselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
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 rolesyesnonono

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More resources
Alibaba Cloud MaxComputeApache IoTDBEJDBHawkular MetricsHypertable
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