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DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Spanner vs. Sphinx vs. TinkerGraph vs. WakandaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Google Cloud Spanner vs. Sphinx vs. TinkerGraph vs. WakandaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSphinx  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Open source search engine for searching in data from different sources, e.g. relational databasesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSSearch engineGraph DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­spannersphinxsearch.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwakanda.github.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputecloud.google.com/­spanner/­docssphinxsearch.com/­docswakanda.github.io/­doc
DeveloperAlibabaGoogleSphinx Technologies Inc.Wakanda SAS
Initial release20162017200120092012
Current release3.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++, JavaScript
Server operating systemshostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes
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 indexesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011SQL-like query language (SphinxQL)nono
APIs and other access methodsFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Proprietary protocolTinkerPop 3RESTful HTTP API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Groovy
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin Javanononoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication with 3 replicas for regional instances.nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.optionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonoyes

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More resources
Alibaba Cloud MaxComputeGoogle Cloud SpannerSphinxTinkerGraphWakandaDB
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