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DBMS > Amazon DynamoDB vs. Faircom DB vs. Splice Machine vs. Vertica

System Properties Comparison Amazon DynamoDB vs. Faircom DB vs. Splice Machine vs. Vertica

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NameAmazon DynamoDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonSplice Machine  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score68.89
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.60
Rank#216  Overall
#36  Key-value stores
#105  Relational DBMS
Score0.91
Rank#179  Overall
#90  Relational DBMS
Score22.07
Rank#32  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.faircom.com/­products/­faircom-dbsplicemachine.comwww.vertica.com
Technical documentationdocs.aws.amazon.com/­dynamodblearn.faircomcorp.com/­developers/­documentation_directorydoc.splicemachine.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperAmazonFairCom CorporationSplice MachineVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2012197920142005
Current releaseV12, November 20202.0Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infoRestricted, free version availableOpen Source infoAGPL 3.0, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++Java
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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.noyes
Secondary indexesyesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsRESTful HTTP APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes infoJavayes
Triggersyes infoby integration with AWS Lambdayesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication
Source-replica replication
Multi-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noYes, via Full Spark Integrationyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
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 regiontunable from ACID to Eventually ConsistentACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
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)Fine grained access rights according to SQL-standard with additional protections for filesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon DynamoDBFaircom DB infoformerly c-treeACESplice MachineVertica infoVertica Analytics Platform
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more
THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
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Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more
Operational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more
New AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» more
Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
Cost-based models and subscription-based models are available
» more
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Amazon DynamoDBFaircom DB infoformerly c-treeACESplice MachineVertica infoVertica Analytics Platform
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