HTTP 200 verified twice
Finding your next stop…
Loading the latest directory information.
Loading the latest directory information.
Apache Ignite is a memory-first distributed SQL database offering ACID transactions with Raft consensus, colocated compute, and horizontal scalability. It delivers microsecond latencies via RAM-based storage for transactional, streaming, and digital integration hub workloads.
Start here for the decision-making essentials: what Apache Ignite does, who it is for, how it is accessed, and the first-party sources behind this profile.
See official pricing
Read-only public captures of Apache Ignite’s homepage. Screenshots are dated, never live embeds, and open full-screen.
Short answers to the questions buyers and builders commonly ask about Apache Ignite. Each answer cites the shared ledger below, where every source is listed once.
Distributed database management system for high-performance computing · Memory-first distributed SQL database · ACID transactions across partitions with Raft consensus · Microsecond latencies via memory-first architecture
Apache Ignite is a leading distributed database management system for high-performance computing with in-memory speed
Mission-critical high-velocity applications requiring in-memory performance · Low-latency shared data layer for digital integration hub architectures · Transactional workloads, event stream processing, and operational data stores · Session state, real-time aggregations, and temporary result sets with non-persistent stora
distributed database for mission-critical high-velocity applications that require in-memory performance
RocksDB storage remains experimental and is not recommended for production deployments
RocksDB storage remains experimental. It provides an alternative persistence approach for specialized workloads. Not recommended for production deployments until the implementation matures.
Standard SQL or key-value APIs for data access · REST API for programmatic cluster administration
Standard SQL or key-value APIs simplify data access patterns
CacheStore interface for write-through and write-behind synchronization with back-end data · Synchronization with back-end systems via streaming platforms, change data capture tools, · JDBC driver integration with automatic failover, connection pooling, and existing tool com · OpenTelemetry metrics export compatible with Prometheus, Grafana, and Datadog
Ignite 2 provides CacheStore interface for write-through and write-behind synchronization
Horizontal scalability across cluster nodes for growing data volumes · Distributed cluster with consensus-based replication via Raft · Hot reconfiguration without cluster restarts
Horizontal scalability handles growing data volumes from multiple sources
This profile connects the jobs Apache Ignite is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
HTTP 200 verified twice
Distributed Database - Apache Ignite®
Memory-first distributed SQL database · ACID transactions across partitions with Raft consensus · Memory-first architecture delivers microsecond latencies
Distributed database management system for high-performance computing
Memory-first distributed SQL database
Mission-critical high-velocity applications requiring in-memory performance
ACID transactions across partitions with Raft consensus
Microsecond latencies via memory-first architecture
Memory-first architecture with data stored in RAM rather than behind disk I/O
Low-latency shared data layer for digital integration hub architectures
CacheStore interface for write-through and write-behind synchronization with back-end databases (Ignite 2)
Synchronization with back-end systems via streaming platforms, change data capture tools, or event-based integration
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Apache Ignite. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Standard SQL or key-value APIs for data access
Scales across memory and disk tiers without trade-off
Horizontal scalability across cluster nodes for growing data volumes
Apache Ignite (Apache Software Foundation project)
ACID transactions, distributed SQL, and compute capabilities
Memory-first architecture with MVCC and in-memory primary storage tier
Distributed cluster with consensus-based replication via Raft
Native clients for Java, .NET, C++, and Python
Transactional workloads, event stream processing, and operational data stores
Session state, real-time aggregations, and temporary result sets with non-persistent storage
Efficient binary protocol with request pipelining and partition-aware routing
RocksDB storage remains experimental and is not recommended for production deployments
JDBC driver integration with automatic failover, connection pooling, and existing tool compatibility
Reactive streaming with automatic backpressure control via DataStreamer
Colocated compute that executes jobs on nodes holding the data
Distributed coordination through Catalog, Meta Storage, and Hybrid Logical Clock
Transactional streaming with MVCC snapshot isolation
Map-reduce compute semantics
SQL system views for cluster state inspection
SSL/TLS encryption for client-to-cluster and node-to-node communication
Username/password authentication with role-based permissions (read, write, admin)
OpenTelemetry metrics export compatible with Prometheus, Grafana, and Datadog
REST API for programmatic cluster administration
Hot reconfiguration without cluster restarts
Raft consensus for schema changes and Meta Storage
Distributed database for mission-critical high-velocity applications requiring in-memory p · Memory-first distributed SQL database eliminating the scale/speed trade-off · Microsecond latencies via data stored in RAM rather than behind disk I/O
Distributed database for mission-critical high-velocity applications requiring in-memory performance
Memory-first distributed SQL database that eliminates the scale/speed trade-off
