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DBMS > Dgraph vs. EsgynDB vs. EventStoreDB vs. QuestDB vs. Warp 10

System Properties Comparison Dgraph vs. EsgynDB vs. EventStoreDB vs. QuestDB vs. Warp 10

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonQuestDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionIndustrial-strength, open-source database solution built from the ground up for event sourcing.A high performance open source SQL database for time series dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMSRelational DBMSEvent StoreTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitedgraph.iowww.esgyn.cnwww.eventstore.comquestdb.iowww.warp10.io
Technical documentationdgraph.io/­docsdevelopers.eventstore.comquestdb.io/­docswww.warp10.io/­content/­02_Getting_started
DeveloperDgraph Labs, Inc.EsgynEvent Store LimitedQuestDB Technology IncSenX
Initial release20162015201220142015
Current release21.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJava (Zero-GC), C++, RustJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyesSQL with time-series extensionsno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning (by timestamps)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersSource-replica replication with eventual consistencyselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesno
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.noyes infothrough memory mapped filesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
DgraphEsgynDBEventStoreDBQuestDBWarp 10
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
DgraphEsgynDBEventStoreDBQuestDBWarp 10
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