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DBMS > Derby vs. DolphinDB vs. Google Cloud Firestore vs. Kinetica vs. Tigris

System Properties Comparison Derby vs. DolphinDB vs. Google Cloud Firestore vs. Kinetica vs. Tigris

Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Cloud 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.Fully vectorized database across both GPUs and CPUsA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitedb.apache.org/­derbywww.dolphindb.comfirebase.google.com/­products/­firestorewww.kinetica.comwww.tigrisdata.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmldocs.dolphindb.cn/­en/­help200/­index.htmlfirebase.google.com/­docs/­firestoredocs.kinetica.comwww.tigrisdata.com/­docs
DeveloperApache Software FoundationDolphinDB, IncGoogleKineticaTigris Data, Inc.
Initial release19972018201720122022
Current release10.17.1.0, November 2023v2.00.4, January 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree community version availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C, C++
Server operating systemsAll OS with a Java VMLinux
Windows
hostedLinuxLinux
macOS
Windows
Data schemeyesyesschema-freeyesyes
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.yesnononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languagenoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesJavaC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes, Firebase Rules & Cloud Functionsuser defined functionsno
Triggersyesnoyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users and roles on table levelAccess rights for users and roles

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBDolphinDBGoogle Cloud FirestoreKineticaTigris
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