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DBMS > Apache Ignite vs. Memgraph vs. Transwarp Hippo

System Properties Comparison Apache Ignite vs. Memgraph vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameApache Ignite  Xexclude from comparisonMemgraph  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An open source graph database built for real-time streaming and compatible with Neo4jCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelKey-value store
Relational DBMS
Graph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.10
Rank#82  Overall
#12  Key-value stores
#43  Relational DBMS
Score2.57
Rank#96  Overall
#8  Graph DBMS
Score0.00
Rank#382  Overall
#21  Vector DBMS
Websiteignite.apache.orgmemgraph.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationapacheignite.readme.io/­docsmemgraph.com/­docs
DeveloperApache Software FoundationMemgraph Ltd
Initial release201520172023
Current release2.16.0, December 20231.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC and C++C++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
macOS
Data schemeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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.yesnono
Secondary indexesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
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 dataACIDACID 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.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissionsRole based access control and fine grained access rights

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More resources
Apache IgniteMemgraphTranswarp Hippo
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