https://www.pistack.xyz/tags/database/Recent content in Database on Pi StackHugoen-usMon, 20 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/apache-cassandra-vs-scylladb-vs-hbase-distributed-nosql-databases-2026/Mon, 20 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/apache-cassandra-vs-scylladb-vs-hbase-distributed-nosql-databases-2026/<p>When your application outgrows a single database server, you need a distributed NoSQL database that can scale horizontally across multiple nodes. Apache Cassandra, ScyllaDB, and Apache HBase are the three most mature open-source options for self-hosted wide-column data storage. Each uses a fundamentally different architecture, and picking the wrong one can lead to painful operational overhead down the road.</p>https://www.pistack.xyz/posts/hasura-vs-directus-vs-postgraphile-self-hosted-graphql-api-engines-2026/Sat, 18 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/hasura-vs-directus-vs-postgraphile-self-hosted-graphql-api-engines-2026/<p>Building a GraphQL API from scratch requires designing schemas, writing resolvers, implementing authentication, and handling real-time subscriptions. Self-hosted GraphQL API engines eliminate most of this boilerplate by automatically generating APIs directly from your database schema. This guide compares the three leading options: Hasura, Directus, and PostGraphile.</p>https://www.pistack.xyz/posts/pgbackrest-vs-barman-vs-wal-g-self-hosted-postgresql-backup-guide-2026/Sat, 18 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/pgbackrest-vs-barman-vs-wal-g-self-hosted-postgresql-backup-guide-2026/<p>PostgreSQL is one of the most widely deployed open-source relational databases, powering everything from small web apps to enterprise data warehouses. But a database without a reliable backup strategy is a ticking time bomb. Hardware failures, accidental deletes, and corrupt migrations can destroy months or years of data in seconds.</p>https://www.pistack.xyz/posts/rqlite-vs-litefs-vs-dqlite-distributed-sqlite-databases-guide-2026/Sat, 18 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/rqlite-vs-litefs-vs-dqlite-distributed-sqlite-databases-guide-2026/<p>SQLite is the world&rsquo;s most deployed database engine, embedded in billions of devices. Its simplicity, zero-configuration setup, and single-file architecture make it ideal for self-hosted applications. But SQLite alone does not handle replication, high availability, or multi-node clustering.</p>https://www.pistack.xyz/posts/vitess-self-hosted-mysql-horizontal-scaling-guide-2026/Sat, 18 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/vitess-self-hosted-mysql-horizontal-scaling-guide-2026/<p>When a single MySQL server can no longer handle your traffic, you face a critical decision: vertical scaling (bigger hardware) or horizontal scaling (more servers). <a href="https://vitess.io/">Vitess</a> — the open-source database clustering system originally built at YouTube — makes horizontal MySQL scaling practical for self-hosted deployments. With over 20,900 GitHub stars and active development by a vibrant community, Vitess has proven itself at petabyte scale in production environments worldwide.</p>https://www.pistack.xyz/posts/bytebase-vs-flyway-vs-liquibase-self-hosted-database-migration-guide-2026/Fri, 17 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/bytebase-vs-flyway-vs-liquibase-self-hosted-database-migration-guide-2026/<p>Managing database schema changes across multiple environments is one of the most error-prone aspects of software development. Without a proper migration strategy, teams risk data loss, downtime, and inconsistent database states between development, staging, and production. This guide compares three leading open-source database migration tools — Bytebase, Flyway, and Liquibase — and shows you how to set each one up in a self-hosted environment.</p>https://www.pistack.xyz/posts/cockroachdb-vs-yugabyte-vs-tidb-distributed-sql-guide/Fri, 17 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/cockroachdb-vs-yugabyte-vs-tidb-distributed-sql-guide/<p>If your application has outgrown a single database node — whether because of write throughput, storage volume, or the need for geographic distribution — you have reached the point where a distributed SQL database is no longer a luxury. It is a necessity.</p>https://www.pistack.xyz/posts/patroni-vs-galera-cluster-vs-repmgr-self-hosted-database-high-availability-guide-2026/Fri, 17 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/patroni-vs-galera-cluster-vs-repmgr-self-hosted-database-high-availability-guide-2026/<h2 id="why-self-host-database-high-availability">Why Self-Host Database High Availability?</h2> <p>Every production system eventually faces the same reality: a single database node is a single point of failure. When that node crashes, your application goes down, transactions are lost, and users walk away. The traditional answer has been to pay a premium for managed database services that handle replication and failover automatically. But managed services come with steep costs, opaque pricing models, and limited control over how your data is actually protected.</p>https://www.pistack.xyz/posts/cockroachdb-vs-yugabyte-vs-tidb-distributed-sql-guide-2026/Thu, 16 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/cockroachdb-vs-yugabyte-vs-tidb-distributed-sql-guide-2026/<h2 id="why-self-host-a-distributed-sql-database">Why Self-Host a Distributed SQL Database?</h2> <p>Modern applications demand databases that scale horizontally while maintaining full ACID compliance and SQL compatibility. Traditional single-node databases hit a wall: vertical scaling gets expensive fast, read replicas introduce replication lag, and sharding manually is an operational nightmare. <strong>Distributed SQL databases</strong> solve this by combining the familiar relational model with the horizontal scalability of NoSQL systems.</p>https://www.pistack.xyz/posts/clickhouse-vs-druid-vs-pinot-self-hosted-analytics-2026/Wed, 15 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/clickhouse-vs-druid-vs-pinot-self-hosted-analytics-2026/<p>Self-hosting your analytics infrastructure gives you full control over your data, eliminates vendor lock-in, and dramatically reduces costs at scale. When it comes to running real-time analytical queries on large datasets, three open-source databases stand out: <strong>ClickHouse</strong>, <strong>Apache Druid</strong>, and <strong>Apache Pinot</strong>.</p>https://www.pistack.xyz/posts/influxdb-vs-questdb-vs-timescaledb-self-hosted-time-series-database-guide-2026/Wed, 15 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/influxdb-vs-questdb-vs-timescaledb-self-hosted-time-series-database-guide-2026/<h2 id="why-self-host-your-time-series-database">Why Self-Host Your Time-Series Database?</h2> <p>Time-series data is everywhere — server metrics, IoT sensor readings, financial tick data, application telemetry, and user analytics all generate timestamped records at high volume. Storing and querying this data efficiently requires a database purpose-built for time-based workloads.</p>https://www.pistack.xyz/posts/pgbouncer-vs-proxysql-vs-odyssey-self-hosted-database-connection-pooling-guide-2026/Wed, 15 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/pgbouncer-vs-proxysql-vs-odyssey-self-hosted-database-connection-pooling-guide-2026/<p>When your application grows past a handful of users, database connection management becomes one of the first bottlenecks you&rsquo;ll hit. Every new request opens a TCP connection, authenticates, allocates server-side memory, and tears down when done. Multiply that by hundreds of concurrent users and your database spends more time managing connections than executing queries.</p>https://www.pistack.xyz/posts/postgresql-vs-mysql-mariadb-database-comparison-guide/Wed, 15 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/postgresql-vs-mysql-mariadb-database-comparison-guide/<h2 id="why-self-host-your-database">Why Self-Host Your Database?</h2> <p>Running your own database server is the backbone of any self-hosted infrastructure. Whether you are powering a home lab, running a small business application, or building a multi-service architecture, the database choice defines your scalability ceiling, data integrity guarantees, and operational com<a href="https://www.plex.tv/">plex</a>ity.</p>https://www.pistack.xyz/posts/pgbench-sysbench-hammerdb-self-hosted-database-benchmarking-guide-2026/Wed, 15 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/pgbench-sysbench-hammerdb-self-hosted-database-benchmarking-guide-2026/<p>Before you put a database into production, you need to know how it behaves under load. How many queries per second can it sustain? What happens when 500 concurrent connections hit it simultaneously? Does your schema design cause lock contention under write-heavy workloads? Without answering these questions with real benchmark data, you are deploying blind.</p>https://www.pistack.xyz/posts/self-hosted-graph-databases-neo4j-arangodb-nebulagraph-guide-2026/Wed, 15 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/self-hosted-graph-databases-neo4j-arangodb-nebulagraph-guide-2026/<h2 id="why-self-host-a-graph-database">Why Self-Host a Graph Database</h2> <p>Graph databases excel at modeling and querying highly connected data — relationships are first-class citizens, not an afterthought computed via expensive JOINs at query time. They power recommendation engines, fraud detection pipelines, knowledge graphs, network topology maps, and social network analytics.</p>https://www.pistack.xyz/posts/self-hosted-database-gui-tools-cloudbeaver-adminer-dbeaver-guide/Tue, 14 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/self-hosted-database-gui-tools-cloudbeaver-adminer-dbeaver-guide/<h2 id="why-self-host-a-database-management-gui">Why Self-Host a Database Management GUI</h2> <p>Every development team needs a reliable way to inspect, query, and manage databases. Cloud-based tools like DataGrip, TablePlus, or Navicat are polished but come with recurring license costs, vendor lock-in, and the uncomfortable reality of handing your connection credentials to a third-party service.</p>https://www.pistack.xyz/posts/grist-self-hosted-airtable-alternative-guide/Mon, 13 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/grist-self-hosted-airtable-alternative-guide/<p>If you have ever tried to manage project data, inventory, or team workflows in a spreadsheet, you know the pain. Cells get overwritten, relationships between tables are impossible, and there is no access control. Tools like Airtable solved this by blending spreadsheet usability with database structure — but at a steep price and with your data locked on someone else&rsquo;s servers.</p>https://www.pistack.xyz/posts/kafka-vs-redpanda-vs-pulsar/Sun, 12 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/kafka-vs-redpanda-vs-pulsar/<p>When your application needs to handle millions of events per second, a message broker is no longer optional — it&rsquo;s the backbone of your architecture. In 2026, three platforms dominate the open source event streaming space: <strong>Apache <a href="https://kafka.apache.org/">kafka</a></strong>, the industry standard; <strong>Redpanda</strong>, the modern Kafka-compatible successor; and <strong>Apache Pulsar</strong>, the cloud-native challenger with multi-tenancy built in.</p>https://www.pistack.xyz/posts/nocodb-vs-baserow-vs-directus/Sun, 12 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/nocodb-vs-baserow-vs-directus/<h2 id="why-ditch-airtable">Why Ditch Airtable?</h2> <p>Airtable popularized the spreadsheet-database hybrid, but as your data grows, the limits become painful: row caps on free tiers, per-seat pricing, vendor lock-in, and your data living on someone else&rsquo;s servers.</p>https://www.pistack.xyz/posts/valkey-vs-dragonfly-vs-garnet/Sun, 12 Apr 2026 00:00:00 +0000https://www.pistack.xyz/posts/valkey-vs-dragonfly-vs-garnet/<h2 id="why-you-need-a-redis-alternative-in-2026">Why You Need a Redis Alternative in 2026</h2> <p>When Redis changed its license to dual SSPL/BSDL in March 2024, the open-source community responded with a wave of alternatives. Two years later, the landscape has matured into three serious contenders — each with a fundamentally different architecture:</p>