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DBMS > Alibaba Cloud MaxCompute vs. Apache IoTDB vs. etcd vs. Galaxybase vs. JanusGraph

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache IoTDB vs. etcd vs. Galaxybase vs. JanusGraph

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache IoTDB  Xexclude from comparisonetcd  Xexclude from comparisonGalaxybase  Xexclude from comparisonJanusGraph infosuccessor of Titan  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 FlinkA distributed reliable key-value storeScalable, ACID-compliant native distributed parallel graph platformA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSKey-value storeGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score7.05
Rank#53  Overall
#5  Key-value stores
Score0.00
Rank#385  Overall
#40  Graph DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeiotdb.apache.orgetcd.io
github.com/­etcd-io/­etcd
galaxybase.comjanusgraph.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.janusgraph.org
DeveloperAlibabaApache Software FoundationChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Linux Foundation; originally developed as Titan by Aurelius
Initial release2016201820172017
Current release1.1.0, April 20233.4, August 2019Nov 20, November 20211.0.0, October 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
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 languageJavaGoC and JavaJava
Server operating systemshostedAll OS with a Java VM (>= 1.8)FreeBSD
Linux
Windows infoexperimental
LinuxLinux
OS X
Unix
Windows
Data schemeyesyesschema-freeStrong typed schemayes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenonono
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
Native API
gRPC
JSON over HTTP
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayesnouser defined procedures and functionsyes
Triggersnoyesyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
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 replicasUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparknonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users and rolesyesnoRole-based access controlUser authentification and security via Rexster Graph Server

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More resources
Alibaba Cloud MaxComputeApache IoTDBetcdGalaxybaseJanusGraph infosuccessor of Titan
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