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DBMS > HugeGraph vs. QuestDB vs. RavenDB vs. Riak KV

System Properties Comparison HugeGraph vs. QuestDB vs. RavenDB vs. Riak KV

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonQuestDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA high performance open source SQL database for time series dataOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDistributed, fault tolerant key-value store
Primary database modelGraph DBMSTime Series DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score4.44
Rank#80  Overall
#9  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
questdb.ioravendb.net
Technical documentationhugegraph.apache.org/­docsquestdb.io/­docsravendb.net/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBaiduQuestDB Technology IncHibernating RhinosOpenSource, formerly Basho Technologies
Initial release2018201420102009
Current release0.95.4, July 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, RustC#Erlang
Server operating systemsLinux
macOS
Unix
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesyes infoalso supports composite index and range indexnoyesrestricted
SQL infoSupport of SQLnoSQL with time-series extensionsSQL-like query language (RQL)no
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesGroovy
Java
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesErlang
Triggersnonoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by timestamps)ShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication with eventual consistencyMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlUsers, roles and permissionsAuthorization levels configured per client per databaseyes, using Riak Security
More information provided by the system vendor
HugeGraphQuestDBRavenDBRiak KV
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HugeGraphQuestDBRavenDBRiak KV
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