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DBMS > Alibaba Cloud MaxCompute vs. EsgynDB vs. Geode vs. GeoMesa vs. Google Cloud Bigtable

System Properties Comparison Alibaba Cloud MaxCompute vs. EsgynDB vs. Geode vs. GeoMesa vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSKey-value storeSpatial DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Websitewww.alibabacloud.com/­product/­maxcomputewww.esgyn.cngeode.apache.orgwww.geomesa.orgcloud.google.com/­bigtable
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegeode.apache.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docs
DeveloperAlibabaEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.CCRi and othersGoogle
Initial release20162015200220142015
Current release1.1, February 20174.0.5, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache License 2.0commercial
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 languageC++, JavaJavaScala
Server operating systemshostedLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesnoyesnoyesno
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language (OQL)nono
APIs and other access methodsFluentd
Flume
MaxCompute Console
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJavaAll languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaJava Stored Proceduresuser defined functionsnono
Triggersnonoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication between multi datacentersMulti-source replicationdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencydepending on storage layerImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodenoAtomic single-row operations
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.nonoyesdepending on storage layerno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights per client and object definableyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Alibaba Cloud MaxComputeEsgynDBGeodeGeoMesaGoogle Cloud Bigtable
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