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DBMS > Aerospike vs. Amazon DynamoDB vs. Cassandra vs. RocksDB vs. Splice Machine

System Properties Comparison Aerospike vs. Amazon DynamoDB vs. Cassandra vs. RocksDB vs. Splice Machine

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonCassandra  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseHosted, scalable database service by Amazon with the data stored in Amazons cloudWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Document store
Key-value store
Wide column storeKey-value storeRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.51
Rank#60  Overall
#10  Document stores
#3  Graph DBMS
#6  Key-value stores
#2  Spatial DBMS
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score98.83
Rank#12  Overall
#1  Wide column stores
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaerospike.comaws.amazon.com/­dynamodbcassandra.apache.orgrocksdb.orgsplicemachine.com
Technical documentationdocs.aerospike.comdocs.aws.amazon.com/­dynamodbcassandra.apache.org/­doc/­latestgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
Social network pagesLinkedInTwitterYouTubeFacebook
DeveloperAerospikeAmazonApache Software Foundation infoApache top level project, originally developped by FacebookFacebook, Inc.Splice Machine
Initial release20122012200820132014
Current release7.0, November 20234.1.3, July 20239.2.1, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercial infofree tier for a limited amount of database operationsOpen Source infoApache version 2Open Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageCJavaC++Java
Server operating systemsLinuxhostedBSD
Linux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesrestricted infoonly equality queries, not always the best performing solutionnoyes
SQL infoSupport of SQLnonoSQL-like SELECT, DML and DDL statements (CQL)noyes
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
RESTful HTTP APIProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infowith Luanononoyes infoJava
Triggersnoyes infoby integration with AWS Lambdayesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reduceno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsACID infoACID across one or more tables within a single AWS account and regionno infoAtomicity and isolation are supported for single operationsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per objectnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Aerospike infopreviously called CitrusleafAmazon DynamoDBCassandraRocksDBSplice Machine
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
Apache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
No single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
Cassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
Apache license  Pricing for commercial distributions provided by DataStax and available...
» more
News

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5 June 2024

Aerospike a Winner in 2024 Business Sustainability Awards
22 May 2024

New Aerospike Release Lets Enterprises Consolidate Expensive Legacy Cache And Database Platforms
15 May 2024

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7 May 2024

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

An Introduction to David Jones-Gilardi, Developer Relations
11 June 2024

Introducing Tejas Kumar, Developer Relations Engineer
7 June 2024

Indexing All of Wikipedia on a Laptop
5 June 2024

An Introduction to Phil Nash, Developer Relations
3 June 2024

Focus on Creativity, Not Clusters: DataStax Mission Control in Action!
30 May 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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