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DBMS > Dgraph vs. GridGain vs. QuestDB vs. ScyllaDB

System Properties Comparison Dgraph vs. GridGain vs. QuestDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGridGain  Xexclude from comparisonQuestDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGridGain is an in-memory computing platform, built on Apache IgniteA high performance open source SQL database for time series dataCassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSWide column store
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitedgraph.iowww.gridgain.comquestdb.iowww.scylladb.com
Technical documentationdgraph.io/­docswww.gridgain.com/­docs/­index.htmlquestdb.io/­docsdocs.scylladb.com
DeveloperDgraph Labs, Inc.GridGain Systems, Inc.QuestDB Technology IncScyllaDB
Initial release2016200720142015
Current releaseGridGain 8.5.1ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial, open sourceOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license 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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoJava, C++, .Net, Python, REST, SQLJava (Zero-GC), C++, RustC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
Linux
macOS
Windows
Linux
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.noyesnono
Secondary indexesyesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL with time-series extensionsSQL-like DML and DDL statements (CQL)
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes, Lua
Triggersnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes (replicated cache)Source-replica replication with eventual consistencyselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesno infoAtomicity and isolation are supported for single operations
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 infoin-memory tables
User concepts infoAccess controlno infoPlanned for future releasesRole-based access control
Security Hooks for custom implementations
Access rights for users can be defined per object
More information provided by the system vendor
DgraphGridGainQuestDBScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
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More resources
DgraphGridGainQuestDBScyllaDB
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