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DBMS > HugeGraph vs. QuestDB vs. RavenDB vs. Sadas Engine

System Properties Comparison HugeGraph vs. QuestDB vs. RavenDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonQuestDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSadas Engine  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 DatabaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelGraph DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
questdb.ioravendb.netwww.sadasengine.com
Technical documentationhugegraph.apache.org/­docsquestdb.io/­docsravendb.net/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperBaiduQuestDB Technology IncHibernating RhinosSADAS s.r.l.
Initial release2018201420102006
Current release0.95.4, July 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL version 3, commercial license availablecommercial infofree trial version available
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#C++
Server operating systemsLinux
macOS
Unix
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
AIX
Linux
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexnoyesyes
SQL infoSupport of SQLnoSQL with time-series extensionsSQL-like query language (RQL)yes
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
JDBC
ODBC
Proprietary protocol
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by timestamps)Shardinghorizontal partitioning
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 replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
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.Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACID, Cluster-wide transaction available
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 filesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers, roles and permissionsAuthorization levels configured per client per databaseAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HugeGraphQuestDBRavenDBSadas Engine
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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More resources
HugeGraphQuestDBRavenDBSadas Engine
Recent citations in the news

POC exploit code published for 9.8-rated Apache HugeGraph RCE flaw
7 June 2024, The Register

Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code
23 April 2024, GBHackers

PoC Exploit Released for High Severity Apache HugeGraph RCE flaw
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