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DBMS > DolphinDB vs. Google Cloud Bigtable vs. Graph Engine vs. Hazelcast vs. HBase

System Properties Comparison DolphinDB vs. Google Cloud Bigtable vs. Graph Engine vs. Hazelcast vs. HBase

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHazelcast  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionDolphinDB 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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data gridWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelTime Series DBMSKey-value store
Wide column store
Graph DBMS
Key-value store
Key-value storeWide column store
Secondary database modelsRelational DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitewww.dolphindb.comcloud.google.com/­bigtablewww.graphengine.iohazelcast.comhbase.apache.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docshbase.apache.org/­book.html
DeveloperDolphinDB, IncGoogleMicrosoftHazelcastApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20182015201020082008
Current releasev2.00.4, January 20225.3.6, November 20232.3.4, January 2021
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and CJavaJava
Server operating systemsLinux
Windows
hosted.NETAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Data schemeyesschema-freeyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesnoyesyesoptions to bring your own types, AVRO
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.nononoyes infothe object must implement a serialization strategyno
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query languageno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyesnoyesyes infoEvent Listeners, Executor Servicesyes infoCoprocessors in Java
Triggersnononoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsnoone or two-phase-commit; repeatable reads; read commitedSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
DolphinDBGoogle Cloud BigtableGraph Engine infoformer name: TrinityHazelcastHBase
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