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DBMS > Amazon Neptune vs. DolphinDB vs. Google Cloud Firestore vs. H2 vs. HEAVY.AI

System Properties Comparison Amazon Neptune vs. DolphinDB vs. Google Cloud Firestore vs. H2 vs. HEAVY.AI

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDolphinDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDolphinDB 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelGraph DBMS
RDF store
Time Series DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websiteaws.amazon.com/­neptunewww.dolphindb.comfirebase.google.com/­products/­firestorewww.h2database.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.dolphindb.cn/­en/­help200/­index.htmlfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.htmldocs.heavy.ai
DeveloperAmazonDolphinDB, IncGoogleThomas MuellerHEAVY.AI, Inc.
Initial release20172018201720052016
Current releasev2.00.4, January 20222.2.220, July 20235.10, January 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++ and CUDA
Server operating systemshostedLinux
Windows
hostedAll OS with a Java VMLinux
Data schemeschema-freeyesschema-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.nonononono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like query languagenoyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
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
JDBC
ODBC
Thrift
Vega
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined Functionsno
Triggersnonoyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators, 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.fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneDolphinDBGoogle Cloud FirestoreH2HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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