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DBMS > ArcadeDB vs. Google Cloud Bigtable vs. HEAVY.AI vs. LevelDB vs. Lovefield

System Properties Comparison ArcadeDB vs. Google Cloud Bigtable vs. HEAVY.AI vs. LevelDB vs. Lovefield

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLevelDB  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenGoogle'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 hardwareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Key-value store
Wide column store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#355  Overall
#48  Document stores
#37  Graph DBMS
#52  Key-value stores
#34  Time Series DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.32
Rank#290  Overall
#132  Relational DBMS
Websitearcadedb.comcloud.google.com/­bigtablegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­google/­leveldbgoogle.github.io/­lovefield
Technical documentationdocs.arcadedb.comcloud.google.com/­bigtable/­docsdocs.heavy.aigithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperArcade DataGoogleHEAVY.AI, Inc.GoogleGoogle
Initial release20212015201620112014
Current releaseSeptember 20215.10, January 20221.23, February 20212.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSDOpen Source infoApache 2.0
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.
Implementation languageJavaC++ and CUDAC++JavaScript
Server operating systemsAll OS with a Java VMhostedLinuxIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonononono
Secondary indexesyesnononoyes
SQL infoSupport of SQLSQL-like query language, no joinsnoyesnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
Vega
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript
Server-side scripts infoStored proceduresnononono
TriggersnononoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnono

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