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DBMS > Amazon DynamoDB vs. HugeGraph vs. RocksDB vs. Sphinx

System Properties Comparison Amazon DynamoDB vs. HugeGraph vs. RocksDB vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonRocksDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA fast-speed and highly-scalable Graph DBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Key-value store
Graph DBMSKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­dynamodbgithub.com/­hugegraph
hugegraph.apache.org
rocksdb.orgsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­dynamodbhugegraph.apache.org/­docsgithub.com/­facebook/­rocksdb/­wikisphinxsearch.com/­docs
DeveloperAmazonBaiduFacebook, Inc.Sphinx Technologies Inc.
Initial release2012201820132001
Current release0.98.11.4, April 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedLinux
macOS
Unix
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnono
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.nono
Secondary indexesyesyes infoalso supports composite index and range indexnoyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Java API
Proprietary protocol
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Groovy
Java
Python
C
C++
Go
Java
Perl
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnono
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)via hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users, roles and permissionsnono

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Amazon DynamoDBHugeGraphRocksDBSphinx
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