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DBMS > atoti vs. Axibase vs. Badger vs. Google Cloud Bigtable vs. HEAVY.AI

System Properties Comparison atoti vs. Axibase vs. Badger vs. Google Cloud Bigtable vs. HEAVY.AI

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonAxibase  Xexclude from comparisonBadger  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelObject oriented DBMSTime Series DBMSKey-value storeKey-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websiteatoti.ioaxibase.com/­docs/­atsd/­financegithub.com/­dgraph-io/­badgercloud.google.com/­bigtablegithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.atoti.iogodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigtable/­docsdocs.heavy.ai
DeveloperActiveViamAxibase CorporationDGraph LabsGoogleHEAVY.AI, Inc.
Initial release2013201720152016
Current release155855.10, January 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoC++ and CUDA
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringnonoyes
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 indexesnononono
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languagenonoyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
Vega
Supported programming languagesGo
Java
PHP
Python
R
Ruby
GoC#
C++
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresPythonyesnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
atotiAxibaseBadgerGoogle Cloud BigtableHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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