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DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. GridGain vs. JanusGraph vs. Microsoft Access

System Properties Comparison Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. GridGain vs. JanusGraph vs. Microsoft Access

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.GridGain is an in-memory computing platform, built on Apache IgniteA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value store
Wide column store
Key-value store
Relational DBMS
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­bigtablewww.gridgain.comjanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputecloud.google.com/­bigtable/­docswww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­access
DeveloperAlibabaGoogleGridGain Systems, Inc.Linux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release20162015200720171992
Current releaseGridGain 8.5.10.6.3, February 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC++
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoANSI-99 for query and DML statements, subset of DDLnoyes infobut not compliant to any SQL standard
APIs and other access methodsFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes (compute grid and cache interceptors can be used instead)yesyes infosince Access 2010 using the ACE-engine
Triggersnonoyes (cache interceptors and events)yesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003

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More resources
Alibaba Cloud MaxComputeGoogle Cloud BigtableGridGainJanusGraph infosuccessor of TitanMicrosoft Access
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