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DBMS > EXASOL vs. Google Cloud Bigtable vs. Graphite vs. HugeGraph vs. Oracle Coherence

System Properties Comparison EXASOL vs. Google Cloud Bigtable vs. Graphite vs. HugeGraph vs. Oracle Coherence

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA fast-speed and highly-scalable Graph DBMSOracles in-memory data grid solution
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitewww.exasol.comcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webgithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­java/­coherence
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigtable/­docsgraphite.readthedocs.iohugegraph.apache.org/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperExasolGoogleChris DavisBaiduOracle
Initial release20002015200620182007
Current release0.914.1, August 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaJava
Server operating systemshostedLinux
Unix
Linux
macOS
Unix
All OS with a Java VM
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyesyes
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 indexesyesnonoyes infoalso supports composite index and range indexno
SQL infoSupport of SQLyesnononono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Java API
RESTful HTTP API
TinkerPop Gremlin
JCache
JPA
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Groovy
Java
Python
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnonoasynchronous Gremlin script jobsno
Triggersyesnononoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers, roles and permissionsauthentification to access the cache via certificates or http basic authentication

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More resources
EXASOLGoogle Cloud BigtableGraphiteHugeGraphOracle Coherence
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