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DBMS > Altibase vs. Amazon SimpleDB vs. BigchainDB vs. Google Cloud Datastore vs. Vertica

System Properties Comparison Altibase vs. Amazon SimpleDB vs. BigchainDB vs. Google Cloud Datastore vs. Vertica

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud 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 modelRelational DBMSKey-value storeDocument storeDocument storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitealtibase.comaws.amazon.com/­simpledbwww.bigchaindb.comcloud.google.com/­datastorewww.vertica.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­datastore/­docsvertica.com/­documentation
DeveloperAltibaseAmazonGoogleOpenText infopreviously Micro Focus and Hewlett Packard
Initial release19992007201620082005
Current releasev7.3, 2023, August 202312.0.3, January 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoAGPL v3commercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno 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++PythonC++
Server operating systemsAIX
HP-UX
Linux
hostedLinuxhostedLinux
Data schemeyesschema-freeschema-freeschema-freeYes, 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 dateyesnonoyes, details hereyes
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.nononono
Secondary indexesyesyes infoAll columns are indexed automaticallyyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLANSI SQL-92nonoSQL-like query language (GQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP APICLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C++
Java
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresstored procedures and stored functionsnousing Google App Engineyes, PostgreSQL PL/pgSQL, with minor differences
TriggersyesnoCallbacks using the Google Apps Engineyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoSharding must be implemented in the applicationShardingShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factorMulti-source replication using PaxosMulti-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 methodsnononoyes infousing Google Cloud Dataflowno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AltibaseAmazon SimpleDBBigchainDBGoogle Cloud DatastoreVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
AltibaseAmazon SimpleDBBigchainDBGoogle Cloud DatastoreVertica infoOpenText™ Vertica™
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