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DBMS > Dgraph vs. HarperDB vs. Hive vs. ScyllaDB

System Properties Comparison Dgraph vs. HarperDB vs. Hive vs. ScyllaDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHarperDB  Xexclude from comparisonHive  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.data warehouse software for querying and managing large distributed datasets, built on HadoopCassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMSDocument storeRelational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitedgraph.iowww.harperdb.iohive.apache.orgwww.scylladb.com
Technical documentationdgraph.io/­docsdocs.harperdb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.scylladb.com
DeveloperDgraph Labs, Inc.HarperDBApache Software Foundation infoinitially developed by FacebookScyllaDB
Initial release2016201720122015
Current release3.1, August 20213.1.3, April 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoApache Version 2Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoNode.jsJavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
All OS with a Java VMLinux
Data schemeschema-freedynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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 indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoSQL-like data manipulation statementsSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL)
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
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
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
PHP
Python
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 proceduresnoCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reduceyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infothe nodes on which a table resides can be definedselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual 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 dataACIDAtomic execution of specific operationsnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tables
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users and rolesAccess rights for users, groups and rolesAccess rights for users can be defined per object
More information provided by the system vendor
DgraphHarperDBHiveScyllaDB
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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