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Apache Ignite is an open-source, distributed in-memory database designed for high-performance computing and caching workloads. It supports ACID transactions, ANSI SQL queries, and multi-tier storage (memory, disk, Optane) with optional native persistence, allowing you to trade off speed and scale.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | apache/ignite |
| Owner | apache |
| Primary language | Java |
| License | Apache-2.0 — OSI-approved |
| Stars | 5.1k |
| Forks | 1.9k |
| Open issues | 883 |
| Latest release | Unknown |
| Last updated | 2026-07-08 |
| Source | https://github.com/apache/ignite |
What ignite is
Ignite is a Java-based distributed system providing horizontally scalable ACID-compliant SQL engine, native persistence layer, MapReduce compute APIs, and multi-language client support (Java, C#, C++, Python). Data lives in memory tier by default with optional spillover to disk or external databases via pluggable persistence.
Get the ignite source
Clone the repository and explore it locally.
git clone https://github.com/apache/ignite.gitcd ignite# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Capacity Planning: In-memory storage is expensive; estimate working set size upfront. Native persistence provides spillover but adds disk I/O latency—requires trade-off analysis.
- JVM Tuning: Ignite runs on Java and requires careful heap sizing, GC tuning, and memory configuration to avoid stop-the-world pauses in production clusters.
- Cluster Topology: Design for replication factor, partition count, and node coordination. Network latency between nodes directly impacts query performance.
- Client Protocol Selection: Choose between JDBC/ODBC, native language APIs, or REST; each has different latency and throughput characteristics.
- Persistence Strategy: Decide between native disk persistence (for fast cluster restarts) or external DB (for schema flexibility and backup integration).
When to avoid it — and what to weigh
- Simple Key-Value Cache Needs — If you only need basic caching without transactions or SQL, lightweight alternatives (Redis, Memcached) have lower operational overhead and faster setup.
- Strict Write-Once Data Immutability — Ignite is mutable and ACID-oriented. If your workload demands immutable logs or append-only semantics, event streaming systems (Kafka, Pulsar) are better suited.
- Small Team, Limited DevOps Capacity — Ignite cluster management, tuning, and troubleshooting require deep distributed systems expertise. Teams unfamiliar with JVM, memory management, and network protocols will face steep learning curves.
- Strict Data Privacy / Air-Gapped Environments — No clear statement of data residency or confidential computing features in provided data. Organizations with strict regulatory isolation requirements should evaluate separately.
License & commercial use
Apache License 2.0 (Apache-2.0) is an OSI-approved, permissive license. Requires attribution and provides patent protection for licensees. Modifications must be disclosed, but commercial use and distribution are permitted.
Apache-2.0 permits commercial use, including proprietary modifications, as long as the license and copyright notices are retained. Derivative works must state material changes. No commercial support guarantees are stated in the data; contact Apache Ignite community or consulting partners for production SLAs.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | High |
| DEV.co fit | Good |
| Assessment confidence | High |
Data is held in plaintext in-memory by default; security depends on network access controls and JVM process isolation. TLS/SSL encryption for client-node and node-node communication availability not clearly stated in provided data. Persistence layer security (disk encryption, access control) requires separate review. Sensitive data handling and compliance certifications not mentioned.
Alternatives to consider
Redis
Simpler, lower-latency key-value cache. Lacks native ACID transactions and SQL; suitable for high-throughput caching with fewer operational dependencies.
Apache Hazelcast
Similar in-memory data grid with ACID support and MapReduce APIs. Lighter footprint, easier clustering. Differs in persistence strategy and SQL maturity.
ClickHouse
Distributed OLAP engine optimized for analytical queries on immutable data. Not suitable for transactional workloads but excellent for real-time analytics at scale.
Build on ignite with DEV.co software developers
Apache Ignite is a powerful choice for distributed caching and real-time analytics, but requires mature DevOps and distributed systems expertise. If you're building a production system or need guidance on cluster design, persistence strategy, or integration, our enterprise software and cloud deployment teams can help you architect and deploy Ignite reliably at scale.
Talk to DEV.coRelated on DEV.co
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ignite FAQ
Does Ignite require an external database?
Can I use Ignite on Kubernetes?
What happens if a node fails?
Is Ignite suitable for production use?
Custom software development, end to end
If ignite is on your shortlist, DEV.co can build around it. We are a custom software development company covering architecture, implementation, and production operations for open-source databases workloads.
Evaluate Apache Ignite for your high-performance data platform.
Apache Ignite is a powerful choice for distributed caching and real-time analytics, but requires mature DevOps and distributed systems expertise. If you're building a production system or need guidance on cluster design, persistence strategy, or integration, our enterprise software and cloud deployment teams can help you architect and deploy Ignite reliably at scale.