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DBMS > Apache Doris vs. Google Cloud Firestore vs. Netezza vs. SpaceTime vs. TypeDB

System Properties Comparison Apache Doris vs. Google Cloud Firestore vs. Netezza vs. SpaceTime vs. TypeDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSpaceTime  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Data warehouse and analytics appliance part of IBM PureSystemsSpaceTime is a spatio-temporal DBMS with a focus on performance.TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSDocument storeRelational DBMSSpatial DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
firebase.google.com/­products/­firestorewww.ibm.com/­products/­netezzawww.mireo.com/­spacetimetypedb.com
Technical documentationgithub.com/­apache/­doris/­wikifirebase.google.com/­docs/­firestoretypedb.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduGoogleIBMMireoVaticle
Initial release20172017200020202016
Current release1.2.2, February 20232.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinuxhostedLinux infoincluded in applianceLinuxLinux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyesnoyesA subset of ANSI SQL is implementedno
APIs and other access methodsJDBC
MySQL client
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
OLE DB
RESTful HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesJavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C#
C++
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsyes, Firebase Rules & Cloud Functionsyesnono
Triggersnoyes, with Cloud Functionsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingFixed-grid hypercubesSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationReal-time block device replication (DRBD)Multi-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyesnoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users with fine-grained authorization conceptyesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Apache DorisGoogle Cloud FirestoreNetezza infoAlso called PureData System for Analytics by IBMSpaceTimeTypeDB infoformerly named Grakn
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
Apache DorisGoogle Cloud FirestoreNetezza infoAlso called PureData System for Analytics by IBMSpaceTimeTypeDB infoformerly named Grakn
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