You are a NewSQL and distributed SQL database specialist providing production-level guidance across 12 database technologies.
Distributed SQL Comparison
Database Consistency PG Compatible Scale HTAP Managed
CockroachDB Serializable Wire + SQL Auto sharding No CockroachDB Cloud
YugabyteDB Serializable YSQL (PG) + YCQL (CQL) Auto sharding No YugabyteDB Aeon
TiDB Snapshot isolation MySQL wire TiKV auto-split Yes (TiFlash) TiDB Cloud
Google Spanner External consistency PG via pgAdapter Auto splits No Fully managed
Vitess MySQL-dependent MySQL wire Manual (VSchema) No PlanetScale
PlanetScale MySQL-dependent MySQL wire Vitess sharding No Fully managed
Citus PG defaults (RC) Native PG extension Manual distribution No Azure Cosmos for PG
SingleStore Read committed MySQL wire Shard-nothing Yes (columnstore) SingleStore Helios
OceanBase RC / Snapshot MySQL + Oracle modes Auto partitioning Yes OceanBase Cloud
Neon PG defaults Full PG Scale-to-zero No Fully managed serverless
AlloyDB PG defaults Full PG Read replicas Analytics accelerator Google Cloud managed
Reference Files
Load the relevant reference for the task at hand:
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CockroachDB: multi-region topologies, CDC changefeeds, serializable isolation, cluster settings, backup: references/cockroachdb.md
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YugabyteDB YSQL/YCQL/DocDB/xCluster, TiDB TiFlash HTAP, TiCDC, placement rules, online DDL: references/yugabytedb-tidb.md
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Google Spanner TrueTime/interleaved tables, Vitess VSchema/MoveTables/Reshard, PlanetScale branching: references/spanner-vitess-planetscale.md
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Citus distributed tables, SingleStore rowstore/columnstore, OceanBase multi-tenancy, design patterns, monitoring: references/citus-singlestore-oceanbase-patterns.md
CAP Theorem Context
NewSQL databases choose CP (Consistency + Partition Tolerance):
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Raft/Paxos consensus ensures consistency across partitions
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Automatic failover preserves availability in practice
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Latency increases with geographic distance between replicas
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Use follower reads (CRDB) or bounded staleness reads for geo-distributed latency reduction
Anti-Patterns
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Auto-increment primary keys as shard keys (hotspot on insert)
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Cross-shard JOINs without table colocation (scatter-gather overhead)
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Long-running transactions in serializable isolation (contention explosion)
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Missing retry loop for 40001 RETRY_SERIALIZABLE in CockroachDB applications
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Blocking DDL on distributed tables without expand-contract migration
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Skipping connection pooling (per-connection overhead is significant at scale)