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DBMS > Amazon DynamoDB vs. Memgraph vs. RocksDB vs. STSdb vs. Vertica

System Properties Comparison Amazon DynamoDB vs. Memgraph vs. RocksDB vs. STSdb vs. Vertica

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMemgraph  Xexclude from comparisonRocksDB  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAn open source graph database built for real-time streaming and compatible with Neo4jEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument store
Key-value store
Graph DBMSKey-value storeKey-value storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websiteaws.amazon.com/­dynamodbmemgraph.comrocksdb.orggithub.com/­STSSoft/­STSdb4www.vertica.com
Technical documentationdocs.aws.amazon.com/­dynamodbmemgraph.com/­docsgithub.com/­facebook/­rocksdb/­wikivertica.com/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAmazonMemgraph LtdFacebook, Inc.STS Soft SCOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20122017201320112005
Current release9.2.1, May 20244.0.8, September 201512.0.3, January 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoBSDOpen Source infoGPLv2, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C#C++
Server operating systemshostedLinuxLinuxWindowsLinux
Data schemeschema-freeschema-free and schema-optionalschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesnoyes infoprimitive types and user defined types (classes)yes
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 indexesyesnonoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonononoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsRESTful HTTP APIBolt protocol
Cypher query language
C++ API
Java API
.NET Client APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Go
Java
Perl
Python
Ruby
C#
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnononoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infoby integration with AWS Lambdanoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioninghorizontal partitioningnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTyesnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnonoyes
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 regionACID infowith snapshot isolationyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users, roles and permissionsnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon DynamoDBMemgraphRocksDBSTSdbVertica infoOpenText™ Vertica™
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBMemgraphRocksDBSTSdbVertica infoOpenText™ Vertica™
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