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DBMS > Alibaba Cloud MaxCompute vs. Blueflood vs. Google Cloud Bigtable vs. Graph Engine vs. Titan

System Properties Comparison Alibaba Cloud MaxCompute vs. Blueflood vs. Google Cloud Bigtable vs. Graph Engine vs. Titan

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBlueflood  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingScalable TimeSeries DBMS based on CassandraGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSKey-value store
Wide column store
Graph DBMS
Key-value store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputeblueflood.iocloud.google.com/­bigtablewww.graphengine.iogithub.com/­thinkaurelius/­titan
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualgithub.com/­thinkaurelius/­titan/­wiki
DeveloperAlibabaRackspaceGoogleMicrosoftAurelius, owned by DataStax
Initial release20162013201520102012
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoMIT LicenseOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CJava
Server operating systemshostedLinux
OS X
hosted.NETLinux
OS X
Unix
Windows
Data schemeyespredefined schemeschema-freeyesyes
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.nononono
Secondary indexesnononoyes
SQL infoSupport of SQLSQL-like query languagenononono
APIs and other access methodsFluentd
Flume
MaxCompute Console
HTTP RESTgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanonoyesyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infobased on CassandraShardinghorizontal partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor infobased on CassandraInternal replication in Colossus, and regional replication between two clusters in different zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes 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.nononoyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph Server

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More resources
Alibaba Cloud MaxComputeBluefloodGoogle Cloud BigtableGraph Engine infoformer name: TrinityTitan
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