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DBMS > Hypertable vs. Memgraph vs. OmniSci

System Properties Comparison Hypertable vs. Memgraph vs. OmniSci

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMemgraph  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelWide column storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#312  Overall
#30  Graph DBMS
Score2.37
Rank#105  Overall
#51  Relational DBMS
Websitememgraph.comwww.omnisci.com
Technical documentationdocs.memgraph.comdocs.omnisci.com/­latest
DeveloperHypertable Inc.Memgraph LtdMapD Technologies, Inc.
Initial release200920172016
Current release0.9.8.11, March 2016V4
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial infoFree license availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++ and CUDA
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Data schemeschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or datenoyesyes
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnonoyes
APIs and other access methodsC++ API
Thrift
Bolt protocol
Cypher query language
JDBC
ODBC
Thrift
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-Master replication using RAFTMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
HypertableMemgraphOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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