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DBMS > Alibaba Cloud MaxCompute vs. Sphinx vs. TypeDB vs. XTDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Sphinx vs. TypeDB vs. XTDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonSphinx  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingOpen source search engine for searching in data from different sources, e.g. relational databasesTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesSearch engineGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websitewww.alibabacloud.com/­product/­maxcomputesphinxsearch.comtypedb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputesphinxsearch.com/­docstypedb.com/­docswww.xtdb.com/­docs
DeveloperAlibabaSphinx Technologies Inc.VaticleJuxt Ltd.
Initial release2016200120162019
Current release3.5.1, February 20232.28.3, June 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaClojure
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes, extensible-data-notation format
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.nonono
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)nolimited SQL, making use of Apache Calcite
APIs and other access methodsFluentd
Flume
MaxCompute Console
Proprietary protocolgRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
HTTP REST
JDBC
Supported programming languagesJavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin Javanonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportednonone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneSynchronous replication via raftyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Alibaba Cloud MaxComputeSphinxTypeDB infoformerly named GraknXTDB infoformerly named Crux
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Alibaba Cloud MaxComputeSphinxTypeDB infoformerly named GraknXTDB infoformerly named Crux
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