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DBMS > GeoMesa vs. HBase vs. HEAVY.AI vs. Oracle Berkeley DB vs. RocksDB

System Properties Comparison GeoMesa vs. HBase vs. HEAVY.AI vs. Oracle Berkeley DB vs. RocksDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Wide-column store based on Apache Hadoop and on concepts of BigTableA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWidely used in-process key-value storeEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelSpatial DBMSWide column storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitewww.geomesa.orghbase.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrocksdb.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhbase.apache.org/­book.htmldocs.heavy.aidocs.oracle.com/­cd/­E17076_05/­html/­index.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperCCRi and othersApache Software Foundation infoApache top-level project, originally developed by PowersetHEAVY.AI, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleFacebook, Inc.
Initial release20142008201619942013
Current release5.0.0, May 20242.3.4, January 20215.10, January 202218.1.40, May 20209.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache version 2Open Source infoApache Version 2; enterprise edition availableOpen Source infocommercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaC++ and CUDAC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesschema-free, schema definition possibleyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesnono
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.nononoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLnonoyesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
Vega
C++ API
Java API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanonono
Triggersnoyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infoRound robinnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)noACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.depending on storage layeryesyesyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardnono

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More resources
GeoMesaHBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Oracle Berkeley DBRocksDB
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