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DBMS > Badger vs. Dgraph vs. EJDB vs. ScyllaDB vs. Sphinx

System Properties Comparison Badger vs. Dgraph vs. EJDB vs. ScyllaDB vs. Sphinx

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDgraph  Xexclude from comparisonEJDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed and scalable native Graph DBMSEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Cassandra and DynamoDB compatible wide column storeOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeGraph DBMSDocument storeWide column storeSearch engine
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­dgraph-io/­badgerdgraph.iogithub.com/­Softmotions/­ejdbwww.scylladb.comsphinxsearch.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdgraph.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.scylladb.comsphinxsearch.com/­docs
DeveloperDGraph LabsDgraph Labs, Inc.SoftmotionsScyllaDBSphinx Technologies Inc.
Initial release20172016201220152001
Current releaseScyllaDB Open Source 5.4.1, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPLv2Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageGoGoCC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
server-lessLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, bool, date, object_idyesno
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 indexesnoyesnoyes infocluster global secondary indicesyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like DML and DDL statements (CQL)SQL-like query language (SphinxQL)
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
in-process shared libraryProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocol
Supported programming languagesGoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononoyes, Luano
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneyesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via Raftnoneselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tables
User concepts infoAccess controlnono infoPlanned for future releasesnoAccess rights for users can be defined per objectno
More information provided by the system vendor
BadgerDgraphEJDBScyllaDBSphinx
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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BadgerDgraphEJDBScyllaDBSphinx
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